Although accurate and comprehensive maps are indispensable for highly automated
driving, especially in complex urban scenarios, there are hardly any publications in which …

The development of autonomous vehicles (AVs) is becoming increasingly important as the
need for reliable and safe transportation grows. However, in order to achieve level 5 …

Multi-vehicle motion planning (MVMP) has become an emerging paradigm in connected
and automated vehicles (CAVs). The cooperative lane-change movements with the …

In adaptive platooning strategies proposed in literature to handle uncertain and nonidentical
uncertain vehicle dynamics (uncertain heterogeneous platoons) two aspects requiring …

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 …

This paper presents a decoupled trajectory planning framework based on the integration of
lattice searching and convex optimization for autonomous driving in structured …

Highly accurate localization with very limited amount of memory and computational power is
one of the big challenges for next generation series cars. We propose localization based on …

Existing potential functions (PFs) utilized in autonomous vehicles mainly focus on solving
the path-planning problems in some conventional driving scenarios; thus, their performance …

Recently proposed adaptive platooning strategies for connected automated vehicles are
able to address uncertain parameters of the vehicles in the platoon (uncertain driveline time …

Generating annotations which can be used to train new models has become an
independent field of research within machine learning. Its goal is producing highly accurate …