Perception system design is a vital step in the development of an autonomous vehicle (AV).
With the vast selection of available off-the-shelf schemes and seemingly endless options of …

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 …

An autonomous vehicle (AV) requires an accurate perception of its surrounding environment
to operate reliably. The perception system of an AV, which normally employs machine …

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 …

The Canadian Adverse Driving Conditions (CADC) dataset was collected with the
Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset …

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 …

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 …

This paper deals with the calibration of a visual system, consisting of RGB cameras and 3D
Light Detection And Ranging (LiDAR) sensors. Registering two separate point clouds …

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; …

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