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3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving

Description

For the SLAM system in robotics and autonomous driving, the accuracy of front-end odometry and back-end loop-closure detection determine the whole intelligent system performance. But the LiDAR-SLAM could be disturbed by current scene moving objects, resulting in drift errors and even loop-closure failure. Thus, the ability to detect and segment moving objects is essential for high-precision positioning and building a consistent map. In this paper, we address the problem of moving object segmenta

Source

http://arxiv.org/abs/2307.09044v1