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Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments


Mr. Chongjian Yuan

PhD candidate in the Mechanical Engineering Dept.

Date & Time

Thursday, 22 April 2021

2:30 am


Via Zoom


Light detection and ranging (LiDAR) and camera sensors are commonly combined in developing autonomous driving vehicles. LiDAR sensor, owing to its direct 3D measurement capability, has been extensively applied to obstacle detection, tracking, and mapping applications. The integrated onboard camera could also provide rich color information and facilitate the various LiDAR applications. With the recent rapid growing resolutions of LiDAR sensors, the demand for accurate extrinsic parameters becomes essential, especially for applications such as dense point cloud mapping and colorization. We will introduce an automatic pixel-level extrinsic calibration method in targetless environments to address the challenges of traditional calibration methods.

Research Areas:

Robotics and Control

Contact for


Dr. F. Zhang

+(852) 3917 7909

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