EP3198579A1

EP3198579A1 - Method and device for creating a motion model of a road user

Info

Publication number: EP3198579A1
Application number: EP15752951.2A
Authority: EP
Inventors: Roland Galbas; Folko Flehmig; Christian Braeuchle; Alberto Ranninger Hernandez; Miguel Angel Granda Trigo; Felipe Fernandez Hernandez
Original assignee: Robert Bosch GmbH
Current assignee: Robert Bosch GmbH
Priority date: 2014-09-23
Filing date: 2015-07-30
Publication date: 2017-08-02
Also published as: JP2017535008A; US10127815B2; DE102014219148A1; US20170309178A1; CN107077781A; WO2016045832A1

Abstract

The invention relates to a method (600) for creating a motion model (102) of a road user (200, 202), the method (600) comprising a reading step (602), a use step (604) and a determination step (606). In the reading step (602), a current motion vector (110) of the road user (200, 202) is read in. In the use step (604), motion vectors (110), which have been read in over a period of time, are averaged in order to obtain a characteristic motion value (112) of the road user (200, 202) for the period of time. In the determination step (606), a motion model (102) is determined using the motion value (112).

Description

Description title

Method and device for creating a movement model of a

Road traffic participant

State of the art

The present invention relates to a method for creating a movement model of a road user, to a corresponding device and to a corresponding computer program.

DE 10 2008 049 824 A1 describes a method for collision avoidance.

Disclosure of the invention

Against this background, with the approach presented here, a method for creating a movement model of a road user, furthermore a device that uses this method and finally a corresponding computer program according to the main claims are presented. Advantageous embodiments emerge from the respective subclaims and the following description.

A movement of a road user, in particular a

Pedestrian can be detected and mapped in a motion vector. The motion vector represents accelerations and yaw rates that act on the road user at a sensor position.

Multiple motion vectors within a time period can be averaged to smooth numerical values of the motion vectors. The smoothed value can be used to optimize a model of motion. The model can be further developed from an average model to

Peculiarities of the road user improved map.

It will be a method for creating a movement model of a

Road user, the method comprising the following steps:

Reading in a current motion vector of the road user;

Using motion vectors read in over a period of time to obtain a characteristic motion value of the road user for the period; and

Determining the motion model using the motion value.

A movement model can be understood as meaning a parameterized or computational mapping of at least one movement. For example, a road user may be a pedestrian

Be a cyclist, a motorcycle, a passenger car or a truck. A motion vector maps a current movement in numerical values. The movement value can be, for example, an acceleration or

Represent the speed of the road user. In the step of using, the read-in motion vectors may be used to obtain the characteristic motion value. Means may be applying a smoothing processing rule to the numerical values of at least two motion vectors. Additionally or alternatively, in the step of using, a determination of frequency and amplitude of typical periodic progressions in the motion vectors can be made, which can also be used to determine the motion model.

The steps of reading and using can be performed again to obtain a further movement value for a further period of time. In this case, the movement model using the other Movement value to be updated. The movement model can do so

be gradually optimized.

The procedure may include a step of determining a future one

Containment area of the road user using a current position information of the road user, the current motion vector and the movement model. The

Motion model can be used to calculate a probable location by a current position and a current one

Motion vector can be used as input variables of the motion model.

The method may include a step of providing the future one

Location area, the movement model and / or the motion vector for at least one located in an environment further

Road users. The providing step may be done using an interface to a communications network. The future residence area, the movement model and / or the

Motion vector can be provided via a central server. By providing, the further road user can use their own future location area, one's own

Movement model and / or its own motion vector determine an accident hazard. A warning of the risk of an accident can be issued. In a vehicle can be intervened directly in a vehicle control to reduce the risk of accidents or avert.

In the providing step, a signature of the

Be provided to the road user

Make road users identifiable for the other road user. As a result, an incorrect assignment of the future location area, the movement model and / or the motion vector can be avoided.

As motion vector vector, a spatial acceleration and a spatial rate of turn of the road user can be read. Acceleration and / or the rate of rotation can be depicted in three dimensions. Due to the spatiality of the motion vector can be a high

Model accuracy can be achieved. Likewise, an imbalance of the detecting sensor can be compensated by the spatial motion vector.

As a characteristic movement value, an average acceleration for at least one characteristic movement sequence of the

Road user. The mean acceleration may be a threshold at which one movement progresses to the other. For example, from a medium acceleration, a transition from walking to walking can take place.

The approach presented here also provides a device which is designed to implement the steps of a variant of a method presented here

to implement, control or implement appropriate facilities. Also by this embodiment of the invention in the form of a device, the object underlying the invention can be solved quickly and efficiently.

In the present case, a device can be understood as meaning an electrical device which processes sensor signals and outputs control and / or data signals in dependence thereon. The device may have an interface, which may be formed in hardware and / or software. In the case of a hardware-based embodiment, the interfaces can be part of a so-called system ASIC, for example, which contains a wide variety of functions of the device. However, it is also possible that the interfaces are their own integrated circuits or at least partially consist of discrete components. In a software training, the interfaces may be software modules that are present, for example, on a microcontroller in addition to other software modules.

Also of advantage is a computer program product or computer program with program code which can be stored on a machine-readable carrier or storage medium such as a semiconductor memory, a hard disk memory or an optical memory and for the implementation, implementation and / or Triggering the steps of the method according to one of the above

described embodiments, in particular when the program product or program is executed on a computer or a device.

The approach presented here will be described below with reference to the attached

Illustrated drawings by way of example. Show it:

Fig. 1 is a block diagram of an apparatus for creating a

Movement model of a road user according to a

Embodiment of the present invention;

Fig. 2 is a representation of several road users in one

Traffic space created by a method of monitoring according to a

Embodiment of the present invention is monitored;

3 is an illustration of a traffic space monitoring system according to an embodiment of the present invention;

Fig. 4 is a reference diagram of the components of a system for

Monitoring a traffic space according to an embodiment of the present invention;

Fig. 5 intensity-distance characteristics of two different

Frequency bands according to an embodiment of the present invention

Invention;

6 is a flowchart of a method for creating a

Movement model of a road user according to a

Embodiment of the present invention; and

7 shows an illustration of a method sequence of a method for monitoring a traffic space according to an embodiment of the present invention. In the following description of favorable embodiments of the present invention are for the in the various figures

represented and similar elements acting the same or similar

Reference numeral used, wherein a repeated description of these elements is omitted.

1 shows a block diagram of an apparatus 100 for creating a movement model 102 of a road user according to an embodiment of the present invention. The device 100 comprises a device 104 for reading, a device 106 for use and a device 108 for determining. The means 104 for reading is adapted to a current motion vector 110 of the

Road user. The means 106 for use is designed to use motion vectors 110 read in over a period of time in order to obtain a characteristic movement value 112 of the

Road user for the period. The means 108 for determining is designed to expose the movement model 102

Use of the motion value 112 to determine. It can the

Means 106 may be configured to include read-in motion vectors 110 or to determine typical periodic traces in the motion vectors 110 and to analyze the typical periodic waveforms in terms of frequency and amplitude.

2 shows a representation of a plurality of road users 200, 202 in a traffic area 204, which is monitored by a method for monitoring according to an exemplary embodiment of the present invention. A first road user 200 is represented here by a vehicle 200. A second road user 202 is represented here by a child 202. Both road users 200, 202 move within the traffic space 204. In this case, the vehicle 200 is traveling on a

Road and the child 202 is currently walking in the area of a walkway. However, the child 202 runs in the direction of the road and there is a risk that the child 202 may get in front of the moving vehicle 200. The traffic area 204 here comprises exemplary infrastructure objects 206, 208, which are used in one exemplary embodiment of the method presented here to transmit information about an imminent danger to at least one of the road users 200, 202 to the road users 200, 202.

In the illustrated embodiment, the vehicle 200 includes a radio-based detection system 210. For this purpose, several antennas 212 are installed in the vehicle 200, which can emit and receive electromagnetic signals 214. Since the antennas 212 are spatially distributed over the vehicle 200, may

Delay differences of a signal 214 received on a plurality of the antennas 212, a position of a signal source 216 of the signal 214 relative to the vehicle 200 is calculated. The detection system 210 is not limited to objects that are arranged within a direct line of sight to the vehicle 200. Due to the detection via radio waves 214 can also

Objects are covered, which are hidden.

Here, the child 202 is equipped with a device 216, which is designed as a signal source 216. For example, a radio-frequency reflector 216 tuned to a frequency of the signal 214 is sewn into the clothing of the child 202.

Likewise, the radio reflector 216 may be embodied as a detachable clip attached to the clothing of the child 202.

Since mobile phones have become very widespread, a cellular phone 216 of the child 202 may serve as the signal source 216. Here, the signal 214 is received by at least one antenna of the cellular phone 216, processed internally, and sent back to the antennas 212 of the vehicle 200 via the antenna. The vehicle 200 further includes a global satellite navigation system 218.

Via the satellite navigation system 218, a position of the vehicle 200 in the traffic space 204 can be determined with high accuracy. In order to improve position determination, the vehicle 200 has inertial sensors 220. By the inertial sensors 220, the position of the vehicle 200 can be fixed using dead reckoning even if the Satellite navigation system 218 provides only limited positional accuracy. Since the position of the vehicle 200 within the traffic space 204 is known through the use of the satellite navigation system 218 and the inertial sensors 220, using the relative position of the child 202, an absolute position of the child 202 in the traffic space 204 can be determined. Thus, for example, in a digital map of the

Traffic Room 204, the child 202 absolute position is located. This can be used to determine if the child 202 is running off the sidewalk towards the street or if the child 202 is running within a safe play area. In other words, a future position of the child 202 may be determined. This future position is aligned with hazardous areas of the traffic area 204 to detect a hazard to the child 202 and / or the vehicle 200. Here, the dangerous area is defined by a future position or lane of the vehicle 200. If the child 202 would continue to run and thereby the

Fahrfahrschlauch, there is an acute danger that the child 202 is detected by the vehicle 200. This danger is signaled by a warning signal 120 to a driver of the vehicle 200 so that the driver can react to the danger.

In one embodiment, the detection system 210 operates in a frequency range that allows a large range for capturing signal sources 216. In particular, this frequency range is low frequency. If the signal source 216 is active, for example, a mobile phone, the signal source 216 sends, in addition to the signal 214, further information 222 in a different frequency range, which has a shorter range.

In particular, this frequency range is high-frequency. The others

Information 222 may be, for example, a position information 110 and / or a motion vector 112 of the signal source 216. The position information 110 and / or the motion vector 112 may be determined by inertial sensors 220 of the mobile telephone 216 and alternatively or additionally by a

Satellite navigation system 218 of the mobile phone 216 are detected.

The further information 222 is evaluated in the vehicle 200 in order to improve a monitoring accuracy of the traffic space 204. For example, the position information 110 and / or the motion vector 112 determined by the mobile phone 216 is compared with the position and / or movement of the child 202 as detected by the detection system 210. As a result, a detection accuracy of the entire system can be increased.

In one embodiment, the infrastructure objects 206, 208

Transmitting units 216 and / or receiving units 216 for at least one of the signals 214 of the detection unit 210. Since the infrastructure objects 206, 208 are immovable, the position of the vehicle 200 can be determined with high accuracy due to the determined relative position of the vehicle 200 to the infrastructure objects 206, 208. Through the transmission units 216 and / or receiving units 216 of the infrastructure obtained 208 208 other information 222 can also be exchanged. The can

Information 222 between mobile signal sources 216 and the

Infrastructure objects 206, 208 as well as between the vehicle 200 and the infrastructure objects 206, 208 are exchanged. In other words, the signal sources 216 in conjunction with the detector 210 form a data network.

Dead reckoning allows accurate positioning of pedestrians 202 based on GPS 218, geomagnetic field, motion sensors 220, and a digital map. Corresponding algorithms can be executed on current smartphones 216. In particular, a classification of the movement in walking, walking, standing can take place.

In the approach presented here, active pedestrian protection is based on a prediction of the pedestrian movement. For this purpose, a model for the transition from running to walking or standing or vice versa is used to estimate a future location. Based on this

A prediction can be predicated of a collision and if necessary an active pedestrian protection system can be activated on the vehicle 200. On the smartphone 216, a precise position of the pedestrian 202 is determined by dead reckoning. In addition, it is determined whether the pedestrian 202 is running, walking or standing.

In parallel, the transitional behavior between running, walking and standing is determined on the smartphone 216, in particular a medium

Acceleration, for example, determined for a transition from running to standing. In addition, the typical speeds are determined. This is done continuously over a longer period of time, so that finally an individual for the holder 202 of the smartphone 216 valid

Motion model is present.

The smartphone 216 now determines based on the current

Pedestrian speeds and accelerations as well as from the

identified pedestrian movement model a potential resident area of the pedestrian 202 and a location and time dependent

Residence probability in it.

The predicted location area, the pedestrian model, as well as the current position, speed and acceleration vectors

for example by means of DSRC to road users 200 in the near

Environment 204 sent. A digital signature ensures that the transmitted data is authentic.

The surrounding vehicles 200 receive the transmitted data 214 and can thus select collision-prone pedestrians 202. Surrounding sensors, such as radar and / or video, can be prepared early for the occurrence of pedestrians 202. For example, the sensors can be prepared for the detachment of a pedestrian object from a visual obscuration. A tracking of the pedestrian objects 202 can be started early and also in the event of obscuration, so that the speed 112 and position 110 can be determined more accurately and more quickly if the

Pedestrian 202 is in the field of view of the sensors. In addition, the transmitted pedestrian model allows a more accurate and personalized activation of an active pedestrian protection system. In particular, this can reduce the proportion of false trips, if it is a pedestrian 202 with above-average dynamics, such as a jogger who stops more often abruptly at the roadside. In addition, that can

Intervene earlier system and thus bring about the difference between accident prevention and collision with speed reduction. If it is a pedestrian with below-average dynamics, such as an elderly pedestrian, which takes longer to move out of the drive tube.

The vehicle 200 may also transmit its position 110, velocity and acceleration vectors 112, or an already made estimate of the risk of collision. Based on this data 214, the

Smartphone 216 by vibration or an audible signal the pedestrian 202 warn. In addition, in the event of a collision, the horn of the vehicle 200 may be automatically actuated to warn the pedestrian 202.

If, after a critical approach between pedestrian 202 and vehicle 200, a collision occurs, which is determined from the transmitted data 214 and in particular the acceleration sensor data 112 of the smartphone 216 and the vehicle 200, the smartphone 216 and vehicle 200 automatically send an emergency call.

If there is a high risk of collision, in particular the location and time of the (near) collision are transmitted to a cloud in order to determine centers of gravity and places with a high risk of accidents. These may be sent back to the smartphone 216 to warn pedestrians 202 of dangerous locations over an app, such as beeps and / or vibration, before crossing the roadway.

In other words, the approach presented here enables active protection for endangered road users 200, 202, in particular pedestrians 202, cyclists and motorists 200, by means of a hybrid system with radio

Multifrequency radio communication and location detection and / or

microelectromechanical system sensors 220. An important traffic problem is evidenced by the statistics of road accident data: There is a high rate of deaths and injuries to pedestrians 202. This results in an increase in the interest of society

Pedestrian protection.

There is a trend in avoiding accidents at risk

Road users 202 on active safety systems and passive safety systems for pedestrian protection.

The main objective is the active protection of vulnerable road users 200, 202 through traffic collision avoidance, concentrating specifically on urban pedestrian accidents, with the maximum

Speed of the vehicles is 50 km / h, and the middle one

Pedestrian speed is ten to five km / h.

The reduction of traffic accidents with unprotected road users 200, 202 is an important goal. Official figures for 2009 show that more than 400,000 pedestrians 202 are killed in traffic accidents worldwide every year.

Pedestrian collisions in the increasingly intense traffic environment take place on a daily basis. For example, in Sweden, 16 percent of all people killed in traffic are pedestrians. In the US, 11% of all people killed in traffic are pedestrians. In Germany it is 13%. In China it is up to 25%.

Accident statistics also illustrate again and again that in about 40 percent of all fatal pedestrian accidents, the driver 200 does not see the person 202 until shortly before the impact. In the case of children 202, the situation is even more dramatic. According to figures from the German Federal Statistical Office of 2006, 48 percent of accident victims between the ages of six and 14 took to the streets without paying any attention to traffic. Twenty-five percent of accidents involving children occur when they suddenly appear behind an object that obstructs vision. Protection systems to collisions between cars and vulnerable

To prevent road users, as a video systems based on visible, near infrared or far infrared, mono and stereo video cameras, radar-based systems, LIDAR (Light Detection and Ranging) and laser distance measuring systems, ultrasound-based Systems, Global

Navigation Satellite System (GNSS) based approaches (eg Assisted GPS, Galileo, etc.), Local Positioning System (LPS) or Real-time Location System (RTLS) based approaches, RFID tag-based systems and UWB-based systems or Position and motion sensor systems are classified.

The approach presented here enables possible detection, tracking and collision analysis of vulnerable road users 200, 202 in direct line-of-sight situations and in situations where the vulnerable road user 200, 202 is obscured by an object, with high range and high localization accuracy. The endangered

Road users 200, 202 may be identified and tracked in bad weather such as rain or snow or in low light conditions. The use of active transponders 216 on the vulnerable road user 202 allows for greater detection range. This allows a precise identification of the type of vulnerable road users 202 possible. Accurate further information 222 of the vulnerable road users 202, such as 6D accelerations, SD orientation can be transmitted. This results in increased adaptability, flexibility and robustness of the system in different traffic scenarios, vehicles 200 and vulnerable

Road users 202. The approach presented here allows adaptive functionality of the active protection systems to context, status,

Traffic conditions and profile of the vulnerable road user 202. A data fusion process enables a reliable and robust behavior of the system. The complementary MEMS sensors 220 enhance the tracking of the vulnerable road users 202. The optional use of a global satellite navigation system 218 by the vulnerable road user 202 increases availability,

Reliability and robustness of the corresponding system. Optional radio communications with traffic lights 206 increase the availability, reliability and robustness of the system. The system is also able to independently without the help of information and

Communication technology infrastructure means to work. The result is an improved risk assessment of collisions between vehicles 200 and weaker or vulnerable road users 202 through a data fusion approach. Local positioning systems 210 with higher accuracy based on narrow band and ultra wide band technology can be used.

A system for real-time detection, identification, location and tracking of vulnerable road users 200, 202 in the region 204 of interest by one in the vehicle 200 and at risk

Road users 202 embedded radio frequency-based system, presented under LOS (line-of-sight) and NLOS (not line-of-sight) conditions.

The relative position between the vehicle 200 and the vulnerable

Road users 202 is performed in the vehicle 200 and is based on a radio frequency system. The most important parameters are distance (range), horizontal angle (azimuth) and vertical angle (elevation).

By combining radio frequency based local

Positioning system 210 and position data from the endangered

Road users 202 are provided and transmitted, there is an improved positioning accuracy.

The vehicle state vector consisting of the speed, the

Acceleration in six spatial directions, the three-dimensional orientation, the position of the global navigation satellite system 218, the steering wheel position and the position of the turn signal is evaluated.

The future vehicle lane is estimated using the steering wheel position, the position of the turn signal, the road, and pavement restrictions. The state of vulnerable road users 202 is evaluated within the vehicle 200 in consideration of the 6D acceleration, the SD orientation, the global satellite navigation system position. For example, pedestrian states such as standing, walking, running, sidewalk walking up and down can be detected. By using a

Accelerometer 220, shocks of the foot can be detected and used to detect pedestrian gait 202.

The position information of the vehicle 200 and the vulnerable

Road user 202 from the Local Positioning System 210 and the Global Navigation Satellite System 218, as well as the appropriate ones

Map information is used for navigation and for those involved

Risk assessment used.

In overcrowded situations, an assessment of the global characteristics of groups of vulnerable road users 202 can be achieved.

Improved alignment estimation and motion estimation of vulnerable road users 202 is achieved through supplemental data fusion of SD acceleration sensor 220, 3D gyroscope, 3D compass, pressure sensor, and global navigation satellite system 218 position. These

Information is transmitted to the vehicle 200 via radio 214.

The position estimation of vulnerable road users 202 may be enhanced using additional vehicle sensors such as video, radar, lidar ultrasound, or radio-ultrasound systems.

Profile information such as age, personal status, or obstruction of the vulnerable road user 202 may be communicated to the vehicle 200 to enhance the risk assessment and driver strategy.

Additional status information, such as the physical condition or the likely degree of alcoholism of the endangered Road user 202 may contact the vehicle 200 for the

Improvement of accident risk evaluation to be transmitted.

Context information about vulnerable road users 202, such as children near a school or extraordinary events may be attached to the vehicle

200 transferred to improve the movement forecast and in the

Risk assessment.

Contextual information about vehicle 200 and environment, such as day-night state, traffic conditions, weather or the average number of

Pedestrians 202 in the roads 204 may be considered for the involved risk assessment.

The profile, condition and context of the vulnerable road users 202, the driver, the vehicle 200 and the environment may be used by data fusion to calculate the risk assessment and the actuation strategy.

Hierarchical and multi-level process information can be used to improve context-related functions. For example, you can

Primary information such as location, movement, time, identity, or secondary information such as spatial context, dynamic context, temporal context, physical context, or traffic context. The system includes an electronically scanned antenna 212 and a local

Positioning system 210 based on narrowband and ultra-wideband radio frequency using technology based on the

Signal transit time and arrival angle. 3 shows an illustration of a system 300 for monitoring a

Traffic space according to an embodiment of the present invention. The system 300 has at least one vehicle module 302, at least one mobile module 304 and at least one infrastructure module 306. The system 300 shown here corresponds essentially to that described in FIG. 2

Components. Each of the modules 302, 304, 306 includes a first antenna 212 for a first frequency range and a second antenna 308 for a second frequency range. The antennas 308, 212 are over a

Communication interface 310 and a controller unit 312 connected to the modules 302, 304, 306.

The vehicle module 302 includes a local position sensing system, a global satellite navigation system, a triaxial compass, a triaxial accelerometer, a three axis yaw rate sensor, a video camera, a radar transmitter and receiver, an RFID position sensing system, and a warning system. Furthermore, the vehicle module 302 has a processor for merging and processing data. Warnings can be issued on a man-machine interface. The vehicle module can also have actuators in order to be able to intervene directly in a control of the vehicle.

The mobile module 304 has a transponder, a global one

Satellite navigation system, a three-axis compass, a three-axis accelerometer, a three-axis rotation rate sensor, an RFID position detection system, a warning system and a battery.

The infrastructure module 306 includes a position sensing system, a camera, a radar transmitter and receiver, an RFLD tag, and a warning system.

A key point of the active protection system 300 for endangered

Road Traffic Participant is a modular distributed architecture with a local positioning system (LPS), microelectromechanical system (ME MS) sensors and a possible collaboration with a global one

Navigation Satellite System (GNSS). The multifrequency system used operates in narrowband and ultra-wideband to allow radio communication between vehicles and vulnerable road users. Furthermore, cooperation with the road infrastructure can be implemented via radio frequency in order to cope with the complexity and diversity of the vulnerable road user scenarios involved. The main advantage of the approach presented here is to increase the flexibility, reliability and robustness of the corresponding active protection system for vulnerable road users. A general modular distributed system 300 for performing the functions described herein may include the following units:

An identification module that recognizes and processes the static and dynamic information about vulnerable road users. One

Communication module, based for example on the

Communication standard 802.11p. A local positioning module based on 6 to 8.5 GHz ultra-wideband, for example, as well as a position-tracking module, for example based on an extended Kalman filter or a particle filter.

To improve the position estimate of the endangered

Road users can be integrated with the following auxiliary units: an inertial measurement module, for example with a 3D microelectromechanical system (MEMS) of accelerometers and gyroscopes 3D. An orientation module, for example a 3D MEMS compass. A global navigation satellite system (GNSS) module, such as an A-GPS or multi-frequency Galileo, as well as a location and navigation module.

In a more complex embodiment, the system 300

Distance sensors, such as a multi-beam radar or LI DAR, mono or stereo video cameras in the visible, near infrared or far infrared and / or an RFID-based location system, for example based on passive or active integrated into the infrastructure anchor nodes. The passive anchor nodes may be, for example, 13.56 MHz RF tags.

In one embodiment, the system 300 includes a distributed

Processing unit that performs the appropriate data fusion process under Use of the special features adapted to the status and context of the actors involved (vehicles, pedestrians, infrastructure and environment). An algorithm estimates the trajectories of the vehicle and the vulnerable road users involved and identifies critical situations. Participating vulnerable road users transmit by

Radio communication Data in terms of their nature, position, orientation and inertial state. Visual and graphical warnings, for example in a laser head-up display and / or sound warnings, can be output in the considered human machine interface of vehicles. The horn is additionally activated in critical situations and an automatic full braking is optionally generated in borderline situations. Augmented reality displays can be used to enhance the corresponding warnings. Sound and / or vibration warnings may also be carried out in the modules carried by the vulnerable road users.

Supplementary visual and audible alarms can be provided by signals or

Units of the involved roadside infrastructure can be generated especially in some critical traffic zones.

4 shows a reference diagram of the components of a traffic space monitoring system 300 according to an embodiment of the present invention. The system 300 essentially corresponds to the system in FIGS. 2 and 3. Here, the modules 302, 304, 306 of the system are represented here by symbolic participants. The vehicle module 302 has the largest link to the other modules 304, 306. The vehicle module 302 communicates with the mobile module 304 via the local positioning system or detection system 210, via the further information 222 and the warning signals 120. The vehicle module 302 communicates with the mobile module 304 in a risk management 400. The infrastructure module 306 communicates via the warning signals with the

Vehicle module 302 and the mobile module 304. The vehicle module 302 and the mobile module 304 each access their own satellite navigation systems 218 and inertial sensors 220. The vehicle module may also access a brake 402 of the vehicle to decelerate the vehicle. According to one embodiment, it is an adaptive and robust hybrid method for identification, location and tracking. This involves a risk assessment to reduce traffic accidents between vehicles and vulnerable road users with line of sight and non-line-of-sight conditions. The involved risk assessment functions may define automatic control actions 402. For example, a driver warning, a reduction 402 of a vehicle speed, a preparation of the mechanical brake 402, an automatic activation of the brake 402 and / or a haptic activation can take place. Similarly, a vulnerable road user can be warned by warning signals 120 and warnings to the infrastructure 306. This procedure can also be used for historical and continuous monitoring of risk conditions of vulnerable road users in continuous

Improvement processes are used.

Fig. 5 shows intensity characteristics 500, 502 of two different ones

Frequency bands according to an embodiment of the present invention

Invention. The intensity curves 500, 502 are in a diagram

applied, which has applied on its abscissa a distance in meters. The distance is symmetrical to a location of a transmitting antenna

212 applied. On the ordinate is a detectable signal intensity

plotted. The signal intensity in both frequency bands at the location of the antenna 212 is maximum and drops with increasing distance from the antenna 212. The signal intensity drops exponentially. The first intensity characteristic 500 represents a first signal in a first frequency band lower

Frequency. The second intensity characteristic 502 represents a second signal in a second frequency band of higher frequency. The signal intensity of the first signal 500 is significantly higher at the antenna 212 than the signal intensity of the second signal 502. Since both signals 500, 502 become exponentially weaker with increasing distance from the antenna, the second one falls short

Signal 502, a detectable intensity at a closer distance from the antenna 212, than the first signal 500. In this embodiment, the first signal 500 falls below the detectable intensity at a first distance 504 of 150 meters. The second signal falls below the detectable intensity already at a second distance 506 of 50 meters. The first signal 500 is in an embodiment in the narrow band and is used for information exchange and coarse position determination. The second signal 502 is in one embodiment in ultra-wideband and is used for position determination. The second signal 502 is used for transmission and reception in the driving path of the vehicle and / or the lane of the vehicle.

In one embodiment, a frequency split approach using two carrier frequencies is used for different purposes. A first frequency 500 is an information frequency in narrow band. A second frequency 502 is a positioning frequency in ultra wideband. The second frequency 502 is higher than the first frequency 500 and is in the

Pulse mode used. The first frequency 500 is lower than the second frequency 502 and is used in the permanent mode.

In one embodiment, a wake-up mode or pulse mode is used when the information frequency signal is available. This can reduce interference problems in pulse mode and computational effort.

In one embodiment, ultra-wideband (UWB) is used to implement the

Improve range accuracy of the local positioning system, especially in multipath transmission scenarios.

In one embodiment, a Rotman lens is disposed in the vehicle to provide a multi-beam antenna having different angular orientations with suitable gain and ultra-wideband capability.

In one embodiment, two or more Rotman lenses are used to enable a complementary positioning method by arrival angle (AOA) or time of arrival (TOA).

In one embodiment, the vulnerable road segments have radio frequency transmit and receive units for configuration, real-time information transfer, and location. In one embodiment, the road users assessed as being at risk are informed about an accident risk by the emission unit via a man-machine interface (HMI) such as a mobile phone.

In one embodiment, a risk assessment is used with groups of vulnerable road users, for example, pedestrians are evaluated together near a traffic light or intersection. In one embodiment, the real-time location is compromised

Road users are dynamically categorized in "line of sight" and "non-line of sight" to improve the identification, location, tracking and the involved risk assessment function. In case of a temporary radio frequency occlusion of an endangered

User, the system offers other options

Radio frequency tracking of the affected user at risk. It is possible to use a multiple frequency system adapted to the situation under consideration. Higher or lower carrier frequencies may be used to improve radio propagation and localization. The different behavior of the different frequency signals of a

Radio frequency emitter can be compared during a vehicle movement. Two different carrier frequencies can be used to compare runtime differences and to allow a plausibility check. Several radio wave propagation hypotheses can be considered for tracking the corresponding vulnerable road users. The properties of reflected signals can be analyzed because they behave differently than directly received signals. 6 shows a flowchart of a method 600 for creating a

Movement model of a road user according to a

Embodiment of the present invention. The method 600 includes a step 602 of reading, a step 604 of using, and a step 606 of determining. In step 602 of the read in, a current motion vector of the road user is read. In step 604 of using, motion vectors read in over a period of time are averaged to produce a characteristic motion value of the

Road user for the period. In step 606 of determining, the motion model is calculated using the

Movement value determined.

In one embodiment, steps 602, 204 of reading and using are performed again to obtain another move value for a further period of time. The motion model is updated in step 606 of determining using the further motion value.

In one embodiment, a spatial acceleration and a spatial rate of turn of the road user are read in as the motion vector.

7 shows an illustration of a method sequence of a method 600 for monitoring a traffic space according to an embodiment of the present invention. In this case, an identification 700 of an object, a position detection 702 of the object, a tracking 704 of the object, a communication 706 with the object, a data fusion 708, take place

Risk management 710 and a warning 712 via a man-machine interface.

The method presented here enables a real-time tracking of vulnerable road users 202 taking into account a

Inertia measuring unit and / or an orientation measuring unit, such as a combined 3D orientation or 3D gyro and 3D acceleration.

In a further application of the approach presented here, systems embedded in the infrastructure for detecting and warning the vulnerable road users are used.

In one embodiment, infrastructure radio receiver emitter units and other infrastructure sensors for collecting information about vulnerable road users, vehicles and road conditions used to inform about the risks via radio. For example, this information may be used to activate a warning light at a traffic light, or to be sent by radio to surrounding vehicles or vulnerable road users.

In one embodiment, an optical and / or acoustic warning is supplied to the driver in the event of an accident risk. Further support through the ESP, such as brake preparation is possible when a possible driver reaction is braking. Active intervention such as braking and / or steering is possible to prevent and / or mitigate accidents.

The embodiments described and shown in the figures are chosen only by way of example. Different embodiments may be combined together or in relation to individual features. Also, an embodiment can be supplemented by features of another embodiment. Furthermore, the method steps presented here can be repeated as well as executed in a sequence other than that described.

If an exemplary embodiment comprises an "and / or" link between a first feature and a second feature, then this is to be read so that the embodiment according to one embodiment, both the first feature and the second feature and according to another embodiment either only first feature or only the second feature.

Claims

A method (600) of creating a motion model (102) of a road user (200, 202), the method (600) comprising the steps of:

Reading in (602) a current motion vector (110) of the

Road user (200, 202);

Using (604) read in over a period of time

Motion vectors (110) to obtain a characteristic motion value (112) of the road user (200, 202) for the time period; and

Determining (606) the motion model (102) using the motion value (112).

The method (600) of claim 1, wherein the steps (602, 604) of reading and using are performed again to obtain another motion value (112) for a further period of time, wherein in step (606) of determining the motion model (102) is updated using the further motion value (112).

A method (600) according to any one of the preceding claims, comprising a step of determining a future location area of the road user (200) using current position information of the road user (200, 202), the current motion vector (110) and the motion model (102).

Method (600) according to one of the preceding claims, comprising a step of providing the future location area, the movement model (102) and / or the motion vector (110) for at least one further one in an environment (204)

Road users (200, 202).

The method (600) according to claim 4, wherein in the step of

Provision is further made for a signature of the road user (200, 202) to make the road user (200, 202) identifiable to the further road user (200, 202).

Method (600) according to one of the preceding claims, in which in step (602) of the read-in as motion vector (110) a spatial acceleration and a spatial rotation rate of the

Straßenverkehrteilnehmers (200, 202) are read.

A method (600) according to any one of the preceding claims, wherein in step (604) of using as characteristic

Movement value (112) an average acceleration for at least one characteristic movement of the road user (200, 202) is determined.

Apparatus (100) for creating a motion model (102) of a road user (200, 202), the apparatus (100) comprising: means (102) for reading in a current motion vector (110) of the road user (200, 202) ; means (104) for using time-lapsed motion vectors (110) to obtain a characteristic motion value (112) of the road user (200, 202) for the time period; and means (106) for determining the motion model (102) using the motion value (112).

A computer program adapted to perform all the steps of a method according to any one of the preceding claims

perform. 10. Machine-readable storage medium with a stored on it

Computer program according to claim 9.