Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

Autonomous vehicles rely on a variety of sensors to gather information about their
surrounding. The vehicle's behavior is planned based on the environment perception …

An obstacle element map is the basis of indoor navigation space subdivision. Effective and
reasonable indoor space subdivision can improve the fineness of indoor navigation path …

Although the LiDAR sensor provides high-resolution point cloud data, its performance
degrades when exposed to dust environments, which may cause a failure in perception for …

Unmanned aircraft, commonly referred to as drones, represent a valuable alternative for
various operational tasks due to their versatility, flexibility, cost-effectiveness, and reusability …

Light detection and ranging (LiDAR) sensors can create high-quality scans of an
environment. However, LiDAR point clouds are affected by harsh weather conditions since …

Purpose In response to the navigation challenges faced by coal mine tunnel inspection
robots in semistructured underground intersection environments, many current studies rely …

Solving the localization problem is a key requirement to enabling the development of
autonomous platforms. In the field of autonomous driving, the localization problem imposes …

Accurate position tracking of the leader vehicle is the key to the vehicle-following technology
for the unmanned ground vehicle (UGV), but there are still many challenges to implementing …