Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …

Multi-sensor fusion is for enhancing environment perception and 3D reconstruction in self-
driving and robot navigation. Calibration between sensors is the precondition of effective …

In this paper, we present RegNet, the first deep convolutional neural network (CNN) to infer
a 6 degrees of freedom (DOF) extrinsic calibration between multimodal sensors, exemplified …

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 presents a system for calibrating the extrinsic parameters and timing offsets of an
array of cameras, 3-D lidars, and global positioning system/inertial navigation system …

Optoelectronic sensing systems are used in automated vehicles for in-cabin features such
as driver attention and distraction monitoring. As automated driving technology continues to …

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 map** …

In this paper an overview of recent augmented reality (AR) solutions for manufacturing
execution systems (MES) is presented. The first part of the paper describes the challenges of …

This paper presents a calibration algorithm that does not require an artificial target object to
precisely estimate a rigid‐body transformation between a camera and a light detection and …

In this paper, we introduce a novel approach to estimate the extrinsic parameters between a
LiDAR and a camera. Our method is based on line correspondences between the LiDAR …