Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

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 …

Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …

The recent activity in the area of autonomous vehicle navigation has initiated a series of
reactions that stirred the automobile industry, pushing for the fast commercialization of this …

This paper studies the pedestrian recognition and tracking problem for autonomous vehicles
using a 3D LiDAR, a classifier trained by SVM (Support Vector Machine) is used to …

Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …

Road detection is one of the key challenges for autonomous vehicles. Two kinds of sensors
are commonly used for road detection: cameras and LIDARs. However, each of them suffers …

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

Effectively detecting road boundaries in real time is critical to the applications of autonomous
vehicles, such as vehicle localization, path planning, and environmental understanding. To …

For autonomous driving, traversability analysis is one of the most basic and essential tasks.
In this paper, we propose a novel LiDAR‐based terrain modeling approach, which could …