Recently, the multi-modal fusion with 3D LiDAR, camera, and IMU has shown great potential
in applications of automation-related fields. Yet a prerequisite for a successful fusion is that …

The fusion of LiDARs and cameras has been increasingly adopted in autonomous driving
for perception tasks. The performance of such fusion-based algorithms largely depends on …

The accurate environment perception of automobiles and UAVs (Unmanned Ariel Vehicles)
relies on the precision of onboard sensors, which require reliable in-field calibration. This …

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 …

The fusion of LiDAR and camera data is a promising approach for improving the
environmental perception and recognition abilities of robots. The fusion of data from the two …

We propose an algorithm for automatic, targetless, extrinsic calibration of a LiDAR and
camera system using semantic information. We achieve this goal by maximizing mutual …

Fusion of heterogeneous exteroceptive sensors is the most efficient and effective path to the
representation of the environment precisely, as it can compromise various drawbacks of …

Accurate LiDAR-camera online calibration is critical for modern autonomous vehicles and
robot platforms. Dominant methods heavily rely on hand-crafted features, which are not …

This paper investigates a novel calibration process of devices with different modalities,
which is a critical step of computer vision applications. We propose a fully automatic extrinsic …

Limited by the requirements of mounting height and occlusion avoidance in adjacent areas,
the configuration of multiunit light detection and ranging (LiDAR) sensors rather than a …