Abstract Automating processes with the increased use of robots is one of the key vertical applications enabled by 6G. Sensing the surrounding environment, localization and communication become crucial factors for these robots to operate. Light detection and ranging (LiDAR) has emerged as an appropriate method for sensing due to its capability generating detail-rich positional information with high accuracy. However, LiDARs are power-hungry devices that generate bulk amounts of data, limiting their use as on-board sensors in robots. In this paper, we present a novel approach to the methodology of generating an enhanced 3D map with improved field-of-view using multiple LiDAR sensors. This offloads the sensing burden from robots to the infrast...
In this paper, the processing of the data of a 3D light detection and distance measurement (LiDAR) s...
This paper presents the implementation of mapping, localization, and navigation algorithms for a mob...
Abstract—This paper reports on the problem of map-based visual localization in urban environments fo...
Multi-robot systems offer several advantages over their single-robot counterpart such as robustness ...
Three-dimensional representations and maps are the key behind self-driving vehicles and many types o...
This paper describes an affordable robotic mobile 3D mapping system. It is built with Livox Mid–40 l...
Part 4: Optimization, TuningInternational audienceThe lidar is nowadays increasingly used in many ro...
This paper presents a 3D point cloud map construction method based on extracted line segments with t...
In this paper, we propose a localization method applicable to 3D LiDAR by improving the LiDAR locali...
Simultaneous localization and mapping is a fundamental process in robot navigation. We focus on LiDA...
Accurate three dimensional maps are important for applications which require geometric and visual in...
In robotics, simultaneous localization and mapping (SLAM) is a fundamental capability for autonomous...
This paper presents visual analytics of 3D LiDAR point clouds in robotics operating system. In this ...
The ability to precisely determine one’s location in within the world (localisation) is a key requir...
The problem of constructing high quality point clouds based on measurements from a moving and rotati...
In this paper, the processing of the data of a 3D light detection and distance measurement (LiDAR) s...
This paper presents the implementation of mapping, localization, and navigation algorithms for a mob...
Abstract—This paper reports on the problem of map-based visual localization in urban environments fo...
Multi-robot systems offer several advantages over their single-robot counterpart such as robustness ...
Three-dimensional representations and maps are the key behind self-driving vehicles and many types o...
This paper describes an affordable robotic mobile 3D mapping system. It is built with Livox Mid–40 l...
Part 4: Optimization, TuningInternational audienceThe lidar is nowadays increasingly used in many ro...
This paper presents a 3D point cloud map construction method based on extracted line segments with t...
In this paper, we propose a localization method applicable to 3D LiDAR by improving the LiDAR locali...
Simultaneous localization and mapping is a fundamental process in robot navigation. We focus on LiDA...
Accurate three dimensional maps are important for applications which require geometric and visual in...
In robotics, simultaneous localization and mapping (SLAM) is a fundamental capability for autonomous...
This paper presents visual analytics of 3D LiDAR point clouds in robotics operating system. In this ...
The ability to precisely determine one’s location in within the world (localisation) is a key requir...
The problem of constructing high quality point clouds based on measurements from a moving and rotati...
In this paper, the processing of the data of a 3D light detection and distance measurement (LiDAR) s...
This paper presents the implementation of mapping, localization, and navigation algorithms for a mob...
Abstract—This paper reports on the problem of map-based visual localization in urban environments fo...