28 citations · 44 across the 11 of their papers we have counts for
6 papers · 1 filter
Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator
Donglin Yang, Zhenfeng Liu, Wentao Jiang +5
Employing data augmentation methods to enhance perception performance in adverse weather has attracted considerable attention recently. Most of the LiDAR augmentation methods post-…
Automatic Surround Camera Calibration Method in Road Scene for Self-driving Car
Jixiang Li, Jiahao Pi, Guohang Yan +1
With the development of autonomous driving technology, sensor calibration has become a key technology to achieve accurate perception fusion and localization. Accurate calibration o…
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios
Guohang Yan, Zhaotong Luo, Zhuochun Liu +1
Properly-calibrated sensors are the prerequisite for a dependable autonomous driving system. However, most prior methods focus on extrinsic calibration between sensors, and few foc…
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…
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…