The fusion of LiDAR and camera data is a promising approach for improving the
environmental perception and recognition abilities of robots. The fusion of data from the two …

Autonomous driving heavily relies on light detection and ranging (LiDAR) and camera
sensors, which can significantly improve the performance of perception and navigation tasks …

Extrinsic calibration of a 2D camera and a 2D LiDAR is necessary to fuse information from
two sensors by representing the information under the same frame. Various geometric …

The fusion of camera and lidar plays an important role in the field of robotic perception. The
accurate external parameter calibration is a necessary prerequisite for sensor fusion …

Extrinsic calibration between LiDAR and camera has become an indispensable task across
diverse domains, including autonomous vehicles, robotics, and surveillance systems …

Autonomous navigation and unmanned systems are gaining increasingly attention by the
research community, especially towards solving problems related to multi-sensory data …

This paper presents an open source LiDAR-camera calibration toolbox that is general to
LiDAR and cam-era projection models, requires only one pairing of LiDAR and camera data …

LiDAR and cameras have been broadly utilized in computer vision and autonomous vehicle
applications. However, in order to convert data between the local coordinate systems, we …

LiDAR and camera are two of the most popular sensors used in many fields such as
autonomous driving. The prerequisite for fusing the information provided by the two sensors …

In this paper, we present a new minimal solution for the extrinsic calibration of a 2D light
detection and ranging (LIDAR) sensor and a perspective camera. This problem is formulated …