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

In intelligent driving systems, the multisensor fusion perception system comprising multiple
cameras and LiDAR has become a crucial component. It is essential to have stable extrinsic …

Advances in autonomous driving are inseparable from sensor fusion. Heterogeneous
sensors are widely used for sensor fusion due to their complementary properties, with radar …

Advanced Driving Assistance Systems rely on a very precise sensor-based environmental
perception. The quality of the perception depends on the quality of the calibration when …

Unmanned vehicles need to gather the surrounding information comprehensively.
Perception of automotive information is one of the important information. In the field of …

Featured Application This work is used for calibrating intrinsic parameters of camera and
extrinsic parameters between camera and flash LiDAR. Abstract Calibration between …

Autonomous vehicles (AVs) fuse data from multiple sensors and sensing modalities to
impart a measure of robustness when operating in adverse conditions. Radars and cameras …

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 …

Multimodal sensor systems require precise calibration if they are to be used in the field. Due
to the difficulty of obtaining the corresponding features from different modalities, the …

Indoor environments are challenging for multisensor calibrations. Traditional calibration
methods use the target structure for camera and LiDAR calibration. Those approaches not …