Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

In this letter, we present a novel method for automatic extrinsic calibration of high-resolution
LiDARs and RGB cameras in targetless environments. Our approach does not require …

Determining the extrinsic parameter between multiple light detection and rangings (LiDARs)
and cameras is essential for autonomous robots, especially for solid-state LiDARs, where …

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 …

The working environment of autonomous driving and robot navigation is so complex and
dynamic that a single type of sensor is insufficient for performing object detection. Thus, in …

The strategy of fusing multi-model data especially from cameras, light detection and ranging
sensors (LiDAR), is frequently considered in robotics to enhance the performance of the …

Accurate calibration between LiDAR and camera sensors is crucial for autonomous driving
systems to perceive and understand the environment effectively. Typically, LiDAR–camera …

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 …