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Simultaneous Localization and Mapping (SLAM) plays a crucial role in robotics, autonomous systems, and augmented and virtual reality (AR/VR) applications by enabling devices to understand and map unknown environments. However, deploying SLAM in AR/VR ...

For interacting with mobile objects in unfamiliar environments, simultaneously locating, mapping, and tracking the 3D poses of multiple objects are crucially required. This paper proposes a Tracklet Graph and Query Graph-based framework, i.e., GSLAMOT, ...

Simultaneous localisation and mapping (SLAM) algorithms are commonly used in robotic systems for learning maps of novel environments. Brains also appear to learn maps, but the mechanisms are not known and it is unclear how to infer these maps from neural ...

For synchronization purposes, most applications require data to be transferred onto a cloud or shared with other edge devices. Transferring data between edge devices using wireless connectivity consumes power and bandwidth; therefore it is crucial to ...

Visual Simultaneous Localization and Mapping (vSLAM) is the process of mapping the robot's observed environment using an optical sensor, while concurrently determining the robot's pose with respect to that map. For humanoid robots, the implementation of ...

Drone navigation in GPS-denied, indoor environments, is still a challenging problem. As drones can perceive the environment from a richer set of viewpoints, simultaneous localization and mapping (SLAM) becomes more complex, while having stringent ...

Humans are able to form a complex mental model of the environment they move in. This mental model captures geometric and semantic aspects of the scene, describes the environment at multiple levels of abstractions (e.g., objects, rooms, buildings), ...

Virtual Reality (VR) games and applications require accurate spatial positioning of the head-mounted display (HMD) within the virtual environment. Inside-out tracking technologies such as 'Oculus Insight' derive the HMD position by tracking 'landmarks' ...

We propose a new Movie Map, which will enable users to explore a given city area using omnidirectional videos. Only one Movie Map prototype was developed in the 1980s; it was developed with analog video technology. Later, Google Street View (GSV) ...

This paper proposes a methodology for exploiting approximate computing to reduce the time and energy requirements of Simultaneous Localization and Mapping (SLAM) algorithms, which are used in important problem domains like robotics and autonomous ...

We propose a movie map for walkers based on synthesized street walking views along routes in a particular area. From the perspectives of walkers, we captured a number of omnidirectional videos along streets in the target area (1km2 around Kyoto Station)...

We present a new movie map for walkers that synthesizes street walking views along routes for walkers in an area. We acquired a number of omnidirectional videos from the perspectives of walkers of streets in a certain area (ex. $1km^2$ around Kyoto ...

As the development of artificial intelligence continues, mobile vehicle has increasingly wider applications in intelligent patrol, intelligent crop, etc. For meeting the mobile vehicle's demands, the positioning and navigation system of mobile vehicle ...

Various applications implement slam technology, especially in the field of robot navigation. We show the advantage of slam technology for independent 3d object reconstruction. To receive a point cloud of every object of interest void of its ...

We present V.Ra, a visual and spatial programming system for robot-IoT task authoring. In V.Ra, programmable mobile robots serve as binding agents to link the stationary IoTs and perform collaborative tasks. We establish an ecosystem that coherently ...

We present V.Ra, a visual and spatial programming system for robot-IoT task authoring. In V.Ra, programmable mobile robots serve as binding agents to link the stationary IoTs and perform collaborative tasks. We establish an ecosystem that coherently ...

Monocular simultaneous localization and mapping (SLAM) is a key enabling technique for many computer vision and robotics applications. However, existing methods either can obtain only sparse or semi-dense maps in highly-textured image areas or fail to ...

The emerging simultaneous localizing and mapping (SLAM) based tracking technique allows the mobile AR device spatial awareness of the physical world. Still, smart things are not fully supported with the spatial awareness in AR. Therefore, we present ...

Project VOCOWA aims to deliver an automated solution for assistive technologies/ advanced smart assistance which will enable elderly and disabled people to live an independent and dignified life. VOCOWA can be implemented using three major technologies ...

Simultaneous Localization And Mapping (SLAM) is the problem of building a representation of a geometric space while simultaneously estimating the observer's location within the space. While this seems to be a chicken-and-egg problem, several algorithms ...