[HTML][HTML] High-definition map representation techniques for automated vehicles

B Ebrahimi Soorchaei, M Razzaghpour, R Valiente… - Electronics, 2022 - mdpi.com
Many studies in the field of robot navigation have focused on environment representation
and localization. The goal of map representation is to summarize spatial information in …

Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects

M Hua, D Chen, X Qi, K Jiang, ZE Liu, Q Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Connected and automated vehicles (CAVs) have emerged as a potential solution to the
future challenges of developing safe, efficient, and eco-friendly transportation systems …

LK-TDDQN: A Lane Keeping Transfer Double Deep Q Network Framework for Autonomous Vehicles

X Peng, J Liang, X Zhang, M Dong… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Autonomous driving has brought about a growing interest in enhancing traffic efficiency and
ensuring road safety. One of the fundamental functions of autonomous driving technology is …

Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios

VA Le, B Chalaki, FN Tzortzoglou… - arXiv preprint arXiv …, 2023 - arxiv.org
Addressing safe and efficient interaction between connected and automated vehicles
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …

[PDF][PDF] Mass Platooning: Information Networking Structures for Long Platoons of Connected Vehicles

Investigating Vehicle-to-everything (V2X) communication, we dive into the concept of vehicle
platoons, a key innovation in transport systems, introducing a new era of cooperative driving …