Cross-modality registration between 2D images captured by cameras and 3D point clouds
from LiDARs is a crucial task in computer vision and robotic. Previous methods estimate 2D …

The recent trend of fusing complementary data from LiDARs and cameras for more accurate
perception has made the extrinsic calibration between the two sensors critically important …

Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …

Recently, the field of vehicle-mounted visual intelligence technology has witnessed a surge
of interest in pedestrian detection. Existing algorithms for dense pedestrian detection at …

Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems
in mobile robots. Most calibration methods rely on laborious manual operations and …

In this contribution, we present a simple and intuitive approach for estimating the exterior
(geometrical) calibration of a Lidar instrument with respect to a camera as well as their …

LiDAR-Camera online calibration is of great significance for building a stable autonomous
driving perception system. For online calibration, a key challenge lies in constructing a …

Extrinsic parameter calibration is the foundation and prerequisite for LiDAR and camera
data fusion of the autonomous system. This technology is widely used in fields such as …

In recent years, multi-sensor fusion technology has made enormous progress in 3D
reconstruction, surveying and mapping, autonomous driving, and other related fields, and …

In autonomous vehicles, accurate extrinsic calibration for LiDAR and camera is an essential
prerequisite for multi-sensor information fusion. Automatic and targetless extrinsic calibration …