This article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …

Autonomous vehicle is a kind of typical complex artificial intelligence system. In current
research of autonomous driving, the most widely adopted technique is to use a basic …

Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …

Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …

Place recognition is a key element of mobile robotics. It can assist with the “wake-up” and
“kidnapped robot” problems, where the robot position needs to be estimated without prior …

Only vision-based navigation is the key of cost reduction and widespread application of
indoor mobile robot. Consider the unpredictable nature of artificial environments, deep …

In recent years, multi-view learning has emerged as a promising approach for 3D shape
recognition, which identifies a 3D shape based on its 2D views taken from different …

We present a hierarchical deep reinforcement learning (DRL) framework with prominent
sampling efficiency and sim-to-real transfer ability for fast and safe navigation: the low-level …

By moving a commercial 2D LiDAR, 3D maps of the environment can be built, based on the
data of a 2D LiDAR and its movements. Compared to a commercial 3D LiDAR, a moving 2D …

The LIght Detection And Ranging (LiDAR) sensor has become one of the most important
perceptual devices due to its important role in simultaneous localization and mapping …