A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

An improved Dueling Deep Q-network with optimizing reward functions for driving decision method

J Cao, X Wang, Y Wang, Y Tian - Proceedings of the …, 2023 - journals.sagepub.com
Aiming at poor effects and single consideration factors of traditional driving decision-making
algorithm in high-speed and complex environment, a method based on improved deep …

Decision-making of an autonomous vehicle when approached by an emergency vehicle using deep reinforcement learning

H Shoaraee, L Chen, F Jiang - … , Intl Conf on Cloud and Big …, 2021 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) are the future of road transportation which can increase safety,
efficiency, and productivity. Decision-making of AVs in a highway environment with different …

Génération et analyse de tests pour les systèmes autonomes

C Robert - 2021 - theses.hal.science
Les robots autonomes sont principalement testés par des expérimentations sur le terrain.
Cette approche est coûteuse et peut présenter des risques. Une méthode alternative …

Test generation and test analysis for autonomous systems

C Robert - 2021 - hal.univ-smb.fr
Les robots autonomes sont principalement testés par des expérimentations sur le terrain.
Cette approche est coûteuse et peut présenter des risques. Une méthode alternative …

[PDF][PDF] A Deep Q Learning Approach to Autonomous Vehicle Decision Making

D Mathur - researchgate.net
This study showcases the use of Deep Q Learning for decision-making in autonomous
vehicles. The innovative technique employs a deep neural network to calculate the Q …

[引用][C] DOCTORAT DE L'UNIVERSITÉ FÉDÉRALE TOULOUSE MIDI-PYRÉNÉES

C ROBERT - 2021 - Université Toulouse 3 Paul Sabatier