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 …

Most sensor setups for onboard autonomous perception are composed of LiDARs and
vision systems, as they provide complementary information that improves the reliability of the …

This paper reports on an algorithm for automatic, targetless, extrinsic calibration of a lidar
and optical camera system based upon the maximization of mutual information between the …

Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision
systems are becoming a popular choice for on-board perception systems in vehicles; …

Fusion of laser range finder (LRF) and camera is widely used in the field of intelligent mobile
robots for performing various tasks, such as autonomous navigation, 2D or 3D mapping …

The building sector is the dominant consumer of energy and therefore a major contributor to
anthropomorphic climate change. The rapid generation of photorealistic, 3D environment …

Due to the difference of data modalities, it'sa very challenging task to find the feature
correspondences between 2D and 3D data in LiDAR-Camera calibration. In existing works …

The concept of continuous-time trajectory representation has brought increased accuracy
and efficiency to multi-modal sensor fusion in modern SLAM. However, regardless of these …

Indoor building models are essential in many indoor applications. These models are
composed of the primitives of the buildings, such as the ceilings, floors, walls, windows, and …

Line segment detection in images is already a well-investigated topic, although it has
received considerably less attention in 3D point clouds. Benefiting from current LiDAR …