Abstract: Most current LiDAR simultaneous localization and mapping (SLAM) systems build maps in point clouds, which are sparse when zoomed in, even though they seem dense to human eyes. Dense maps are ...
Abstract: Although the navigation of robots in urban environments has achieved great performance, there is still a problem of insufficient robustness in cross-scene (ground, water surface) navigation ...
STMicroelectronics has introduced the ST FlightSense™ VL53L9, a direct Time-of-Flight 3D LiDAR module for robotics, ...
Fusing the camera and LiDAR information has become a de-facto standard for 3D object detection tasks. Current methods rely on point clouds from the LiDAR sensor as queries to leverage the feature from ...
lidar_localization_ros2 is a ROS 2 package for 3D pointcloud map localization. It provides a runtime localizer, Nav2 launch wrappers, benchmark tools, and experiment runners for recovery and ...
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