Nothing Special   »   [go: up one dir, main page]

Short et al., 2023 - Google Patents

Abio-inspiredalgorithminimage-based pathplanning and localization using visual features and maps

Short et al., 2023

View PDF
Document ID
1320939895523074628
Author
Short D
Lei T
Luo C
Carruth D
Bi Z
Publication year

External Links

Snippet

With the growing applications of autonomous robots and vehicles in unknown environments, studies on image-based localization and navigation have attracted a great deal of attention. This study is significantly motivated by the observation that relatively little research has been …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means unsing a video camera in combination with image processing means
    • G05D1/0251—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means unsing a video camera in combination with image processing means extracting 3D information from a plurality of images taken from different locations, e.g. stereo vision
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D2201/00—Application
    • G05D2201/02—Control of position of land vehicles
    • G05D2201/0217—Anthropomorphic or bipedal robot
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Liu et al. Path planning techniques for mobile robots: Review and prospect
Zhang et al. Robot navigation of environments with unknown rough terrain using deep reinforcement learning
Zghair et al. A one decade survey of autonomous mobile robot systems
Short et al. Abio-inspiredalgorithminimage-based pathplanning and localization using visual features and maps
Manderson et al. Learning to drive off road on smooth terrain in unstructured environments using an on-board camera and sparse aerial images
Saulnier et al. Information theoretic active exploration in signed distance fields
Zhang et al. A survey of visual navigation: From geometry to embodied AI
Li et al. Learning view and target invariant visual servoing for navigation
CN116804879A (en) Robot path planning framework method for improving dung beetle algorithm and fusing DWA algorithm
Abdulazeez et al. Vision-based mobile robot controllers: a scientific review
Lei et al. A bio-inspired neural network approach to robot navigation and mapping with nature-inspired algorithms
Qin et al. Deep imitation learning for autonomous navigation in dynamic pedestrian environments
Choi et al. Hybrid map-based SLAM with Rao-Blackwellized particle filters
CN112857370A (en) Robot map-free navigation method based on time sequence information modeling
Politi et al. Path planning and landing for unmanned aerial vehicles using ai
Peng et al. Design of constrained dynamic path planning algorithms in large-scale 3D point cloud maps for UAVs
Wu et al. Real-time three-dimensional smooth path planning for unmanned aerial vehicles in completely unknown cluttered environments
Zhou et al. An autonomous navigation approach for unmanned vehicle in outdoor unstructured terrain with dynamic and negative obstacles
Abbas et al. Autonomous canal following by a micro-aerial vehicle using deep cnn
Chaudhuri et al. Bio inspired approaches for indoor path navigation and spatial map formation by analysing depth data
Lu et al. LPNet: A reaction-based local planner for autonomous collision avoidance using imitation learning
Chen et al. Real-time active detection of targets and path planning using UAVs
Yang et al. An optimization-based selection approach of landing sites for swarm unmanned aerial vehicles in unknown environments
Wang et al. Fast and safe exploration via adaptive semantic perception in outdoor environments
Kalidas et al. Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles. Drones 2023, 7, 245