Abstract: The accuracy of visual localization estimation heavily relies on the quality of input images and feature point extraction, with variations in illumination significantly impacting matching ...
Abstract: When performing autonomous exploration in unknown and complex environments, robots rely on high-accuracy real-time environmental maps for reliable navigation. However, existing LiDAR-based ...
LIO-SAM is a framework designed for highly accurate, real-time trajectory estimation and map-building for mobile robots. It builds lidar-inertial odometry using a factor graph approach, enabling the ...
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