An Iterative Closest Point Method for Lidar Odometry with Fused Semantic Features
Qiku Cao,
Yongjian Liao,
Zhe Fu
et al.
Abstract:Lidar sensors play a pivotal role in a multitude of remote sensing domains, finding extensive applications in various sectors, including robotics, unmanned aerial vehicles (UAVs), autonomous driving, and 3D reconstruction, among others. Their significance and versatility in these areas have made them indispensable tools for a wide range of applications. The accuracy of Lidar odometry (LO), which serves as the front end of SLAM, is crucial. In this paper, we propose a novel iterative closest point (ICP) techniq… Show more
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