73 citations · 76 across the 6 of their papers we have counts for
6 papers
FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud
Yirui Chen, Pengjin Wei, Zhenhuan Liu +3
Producing traversability maps and understanding the surroundings are crucial prerequisites for autonomous navigation. In this paper, we address the problem of traversability assess…
Online LiDAR-Camera Extrinsic Parameters Self-checking
Pengjin Wei, Guohang Yan, Yikang Li +3
With the development of neural networks and the increasing popularity of automatic driving, the calibration of the LiDAR and the camera has attracted more and more attention. This…
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…
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
Peng Wei, Kun Guo, Ye Li +5
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its uncertaint…