3D LIDAR based environmental perception has been widely used in the field of robotics
research especially for the rapid development of the vehicle's auto pilot. Coordinate …

For an autonomous vehicle, the ability to sense its surroundings and to build an overall
representation of the environment by fusing different sensor data streams is fundamental. To …

This paper proposes an automated method to obtain the extrinsic calibration parameters
between a camera and a 3D lidar with as low as 16 beams. We use a checkerboard as a …

With the advent of autonomous vehicles, LiDAR and cameras have become an
indispensable combination of sensors. They both provide rich and complementary data …

This work presents an extrinsic parameter estimation algorithm between a 3D LIDAR and a
Projective Camera using a marker-less planar target, by exploiting Planar Surface Point to …

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 …

In V2X (Vehicle-to-Everything), one important work is to extrinsically calibrate multiple 3D
LiDARs, which are mounted with a long baseline and large viewpoint-difference at the road …

A calibration procedure for multiple 3D LiDAR sensors to a vehicle coordinate system is
presented. Calibration consists of several preprocessing steps and point cloud registration …

Self-driving cars are steadily becoming a reality by a growing number of driver assistance
functions enabled by smart perception sensors. The light detection and ranging (lidar) …

Perception is one of the key factors to successful self-driving. According to recent studies in
developing perception 3D range scanners combined with stereo camera vision are the most …