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20212024
most citedEfficient LiDAR Odometry for Autonomous Driving

63 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 6 cited

Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process

Xin Zheng, Jianke Zhu

Nowadays, sensor suits have been equipped with redundant LiDARs and IMUs to mitigate the risks associated with sensor failure. It is challenging for the previous discrete-time and…

cs.RO2023

Mesh-LOAM: Real-time Mesh-Based LiDAR Odometry and Mapping

Yanjin Zhu, Xin Zheng, Jianke Zhu

Despite having achieved real-time performance in mesh construction, most of the current LiDAR odometry and meshing methods may struggle to deal with complex scenes due to relying o…

cs.RO2023★ 1 cited

Traj-LO: In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

Xin Zheng, Jianke Zhu

LiDAR Odometry is an essential component in many robotic applications. Unlike the mainstreamed approaches that focus on improving the accuracy by the additional inertial sensors, t…

cs.RO2022★ 1 cited

ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV

Xin Zheng, Jianke Zhu

Prism-based LiDARs are more compact and cheaper than the conventional mechanical multi-line spinning LiDARs, which have become increasingly popular in robotics, recently. However,…

cs.RO2021★ 63 cited

Efficient LiDAR Odometry for Autonomous Driving

Xin Zheng, Jianke Zhu

LiDAR odometry plays an important role in self-localization and mapping for autonomous navigation, which is usually treated as a scan registration problem. Although having achieved…