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Autonomous vehicles have the potential to revolutionize transportation, but they must be able to navigate safely in traffic before they can be deployed on public roads.
Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Seeking for robustness in reinforcement learning: application on carla simulator
Yesmina Jaafra, Jean Luc Laurent, Aline Deruyver, and Mohamed Saber Naceur · 2019
Earlier work this paper cites.
Majid Moghadam and Gabriel Hugh Elkaim · 2019
Earlier work this paper cites.
Deep learning techniques for obstacle detection and avoidance in driverless cars
Nischal Sanil, V Rakesh, Rishab Mallapur, Mohammed Riyaz Ahmed, et al · 2020
Cited alongside, same era.
Deep reinforcement learning for autonomous driving: A survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A Al Sallab, Senthil Yogamani, and Patrick Pérez · 2021
Cited alongside, same era.
Design of obstacle avoidance for autonomous vehicle using deep q-network and carla simulator
Wasinee Terapaptommakol, Danai Phaoharuhansa, Pramote Koowattanasuchat, and Jartuwat Rajruangrabin · 2022
Cited alongside, same era.
Carla simulator-based evaluation framework development of lane detection accuracy performance under sensor blockage caused by heavy rain for autonomous vehicle
Hyeonjae Jeon, YaeOhn Kim, Minyoung Choi, Donggeon Park, Sungho Son, Jungki Lee, Gyeungho Choi, and Yongseob Lim · 2022
Later among the works it cites.
Deep reinforcement learning based control for autonomous vehicles in carla
Óscar Pérez-Gil, Rafael Barea, Elena López-Guillén, Luis M Bergasa, Carlos Gomez-Huelamo, Rodrigo Gutiérrez, and Alejandro Diaz-Diaz · 2022
Later among the works it cites.
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