In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

LiDAR occupies a vital position in self-driving as the advanced detection technology
enables autonomous vehicles (AVs) to obtain much environmental information. Ground …

摘要提出一种基于随机采样一致(RANSAC) 的道路障碍物目标位姿检测算法,
利用这一算法对道路障碍物目标进行检测, 构建目标障碍物的盒模型, 输出盒模型的位姿信息 …

The demand for transportation asset digitalisation has significantly increased over the years.
For this purpose, mobile mapping systems (MMSs) are among the most popular …

Today, perception solutions for Automated Vehicles rely on sensors on board the vehicle,
which are limited by the line of sight and occlusions caused by any other elements on the …

Distinguishing obstacles from ground is an essential step for common perception tasks such
as object detection-and-tracking or occupancy grid maps. Typical approaches rely on plane …

Using different sensors in an autonomous vehicle (AV) can provide multiple constraints to
optimize AV location estimation. In this paper, we present a low-cost GPS-assisted LiDAR …

Perception of obstacles remains a critical safety concern for autonomous vehicles. Real-
world collisions have shown that the autonomy faults leading to fatal collisions originate from …

Ground segmentation is an important step for any autonomous and remote-controlled
systems. After separating ground and nonground parts, many works such as object tracking …

With benefits from wide-range detection and accurate measurements, LiDAR has been
widely studied in the field of autonomous driving. Yet many challenges remain in modern …