Accurate sensor calibration is a prerequisite for autonomous vehicles' multi-sensor
perception. Even though there are many open-source projects related to sensor calibration …

Nowadays, portable cameras and LiDARs are widely applied in robotic applications for
environment perception, path planning, and high precision navigation. In such cases …

Far-range perception is essential for intelligent transportation systems. The main challenge
of far-range perception is due to the difficulty of performing accurate object detection and …

The rapid development of augmented reality (AR), 3D reconstruction, simultaneous
localization and mapping (SLAM), and autonomous driving requires off-the-shelf camera …

With the rapid development of autonomous driving, robotics, and intelligent transportation,
multi-sensor-based environment sensing technology for intelligent vehicles has become a …

The combination of light detection and rangings (LiDARs) and cameras enables a mobile
robot to perceive environments with multimodal data, becoming a key factor in achieving …

This paper introduces a novel targetless method for joint intrinsic and extrinsic calibration of
LiDAR-camera systems using plane-constrained bundle adjustment (BA). Our method …

For environmental perception, autonomous vehicles and intelligent roadside infrastructure
systems contain multiple sensors, that is, radio detection and ranging (radar), light detection …

Multi-modal sensing often involves determining correspondences between each domain's
signals, which in turn depends on the accurate extrinsic calibration of the sensors …

Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets
and human efforts, while learning-based approaches resort to iterative refinement for …