With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …

Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …

With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

The recent trend of fusing complementary data from LiDARs and cameras for more accurate
perception has made the extrinsic calibration between the two sensors critically important …

Collision avoidance is a critical task in many applications, such as ADAS (advanced driver-
assistance systems), industrial automation and robotics. In an industrial automation setting …

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 …

Environment perception for autonomous driving traditionally uses sensor fusion to combine
the object detections from various sensors mounted on the car into a single representation of …

Mobile light detection and ranging (LiDAR) systems are widely used to generate precise 3-D
spatial information, which in turn aids a variety of applications such as digital building model …

As a crucial step of sensor data fusion, sensor calibration plays a vital role in many cutting-
edge machine vision applications, such as autonomous vehicles and AR/VR. Existing …

Rigorous boresight calibration between light detection and ranging (LiDAR) and the camera
is crucial for geometry and optical information fusion in Earth observation and robotic …