Autonomous vehicles need to perform social accepted behaviors in complex urban
scenarios including human‐driven vehicles with uncertain intentions. This leads to many …

This paper describes a LIDAR-based perception system for ground robot mobility, consisting
of 3D object detection, classification and tracking. The presented system was demonstrated …

Future requirements for drastic reduction of CO 2 production and energy consumption will
lead to significant changes in the way we see mobility in the years to come. However, the …

Lidar is an important sensor of the autonomous driving system to detect environmental
obstacles, but the spatial distribution of its point cloud is non-uniform because of the …

Modern driver assistance systems such as collision avoidance or intersection assistance
need reliable information on the current environment. Extracting such information from …

Human drivers use nonverbal communication and anticipation of other drivers' actions to
master conflicts occurring in everyday driving situations. Without a high penetration of …

Autonomous vehicles are expected to achieve self-evolution in the real-world environment
to gradually cover more complex and changing scenarios. Reinforcement learning focuses …

Autonomous and intelligent vehicles will undoubtedly depend on an accurate ego
localization solution. Global navigation satellite systems suffer from multipath propagation …

Urban intersections represent a complex environment for autonomous vehicles with many
sources of uncertainty. The vehicle must plan in a stochastic environment with potentially …

The goal of this paper is to design a functional software architecture for fully autonomous
vehicles. Existing literature takes a descriptive approach and presents past experiments with …