Point-cloud segmentation of 3D LiDAR scans is an important preprocessing task for
autonomous vehicles in on-road and especially in off-road scenarios. Clustering point …

We formulate camera and LiDAR fusion tracking as a sequential decision-making process.
With our deep reinforcement learning framework, we try to optimize the tracking trajectory to …

The usage of Unmanned Ground Vehicles (UGVs) in defence application is increasing, and
much research effort is put into the field. Also, many defence vehicle producers are …

Vehicle platooning is an innovative technology for intelligent transportation systems. Each
vehicle in the platoon is required to autonomously follow its front vehicle's path …

Continuous development of power management, control systems, and communication
technology allows to break conventional barriers between different public transportation …

Reliable collision avoidance is one of the main requirements for autonomous driving.
Hence, it is important to correctly estimate the states of an unknown number of static and …

This paper investigates through simulation the design of a sliding recharge system for road
vehicles which introduces some features such as the usage of a safe single wire recharge …

In contrast to commercial automated driving, where systems are usually able to use
infrastructure such as high-definition maps and GNSS as well as active sensors such as …

Platooning is when one or more follower vehicles follow a lead vehicle autonomously based
on information gained through sensors or communication. Due to being autonomous, the …

Along with the rapid development of autonomous vehicles and driving assistance systems,
suitable maps have been intensively studied in recent years. Besides the improvement of …