most citedLow-Cost GPS-Aided LiDAR State Estimation and Map Building

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

Rui Fan, Hengli Wang, Bohuan Xue +4

This paper proposes three-filters-to-normal (3F2N), an accurate and ultrafast surface normal estimator (SNE), which is designed for structured range sensor data, e.g., depth/dispar…

cs.RO2019

Road Curb Detection Using A Novel Tensor Voting Algorithm

Yilong Zhu, Dong Han, Bohuan Xue +4

Road curb detection is very important and necessary for autonomous driving because it can improve the safety and robustness of robot navigation in the outdoor environment. In this…

cs.RO20191 cited

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT

Umar Ozgunalp, Rui Fan, Shanshan Cheng +7

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based…

cs.RO2019

Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape

Bohuan Xue, Jianhao Jiao, Yilong Zhu +4

Multi-LiDAR systems have been prevalently applied in modern autonomous vehicles to render a broad view of the environments. The rapid development of 5G wireless technologies has br…

cs.RO20192 cited

Low-Cost GPS-Aided LiDAR State Estimation and Map Building

Linwei Zheng, Yilong Zhu, Bohuan Xue +2

Using different sensors in an autonomous vehicle (AV) can provide multiple constraints to optimize AV location estimation. In this paper, we present a low-cost GPS-assisted LiDAR s…

cs.RO20191 cited

Real-Time, Environmentally-Robust 3D LiDAR Localization

Yilong Zhu, Bohuan Xue, Linwei Zheng +3

Localization, or position fixing, is an important problem in robotics research. In this paper, we propose a novel approach for long-term localization in a changing environment usin…