In this paper, we present TEScalib, a novel extrinsic self-calibration approach of LiDAR and
stereo camera using the geometric and photometric information of surrounding …

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

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 …

Multiple sensors, especially cameras and LiDARs, are widely used in autonomous vehicles.
In order to fuse data from different sensors accurately, precise calibrations are required …

The online extrinsic parameters calibration among multiple sensors for data fusion has been
a crucial task in autonomous driving. This paper proposes a new online, robust pipeline of …

The accurate and robust calibration result of sensors is considered as an important building
block to the follow-up research in the autonomous driving and robotics domain. The current …

The integration of the camera and LiDAR has played an important role in the field of
autonomous driving, for example in visual–LiDAR SLAM and 3D environment fusion …

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 …

LiDAR-camera intrinsic and extrinsic parameters calibration is a prerequisite for LiDAR-
camera sensor suite in the cooperative vehicle-infrastructure system or autonomous driving …

Accurate camera-to-lidar calibration is a requirement for sensor data fusion in many 3D
perception tasks. In this paper, we present SceneCalib, a novel method for simultaneous self …