35 citations · 41 across the 6 of their papers we have counts for
6 papers
Optimizing the Placement of Roadside LiDARs for Autonomous Driving
Wentao Jiang, Hao Xiang, Xinyu Cai +5
Multi-agent cooperative perception is an increasingly popular topic in the field of autonomous driving, where roadside LiDARs play an essential role. However, how to optimize the p…
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
Xinyu Cai, Wentao Jiang, Runsheng Xu +4
Recently, Vehicle-to-Everything(V2X) cooperative perception has attracted increasing attention. Infrastructure sensors play a critical role in this research field; however, how to…
An Extrinsic Calibration Method between LiDAR and GNSS/INS for Autonomous Driving
Guohang Yan, Jiahao Pi, Chengjie Wang +2
Accurate and reliable sensor calibration is critical for fusing LiDAR and inertial measurements in autonomous driving. This paper proposes a novel three-stage extrinsic calibration…
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Guohang Yan, Liu Zhuochun, Chengjie Wang +10
Accurate sensor calibration is a prerequisite for multi-sensor perception and localization systems for autonomous vehicles. The intrinsic parameter calibration of the sensor is to…
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene
Pengjin Wei, Guohang Yan, Yikang Li +4
Sensor-based environmental perception is a crucial part of the autonomous driving system. In order to get an excellent perception of the surrounding environment, an intelligent sys…
Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration
Guohang Yan, Feiyu He, Chunlei Shi +2
Sensor-based environmental perception is a crucial step for autonomous driving systems, for which an accurate calibration between multiple sensors plays a critical role. For the ca…