1. End-to-end autonomous driving with semantic depth cloud mapping and multi-agent;O Natan;IEEE Trans. Intell. Veh,2022
2. A survey on imitation learning techniques for end-to-end autonomous vehicles;L Le Mero;IEEE Trans. Intell. Transp. Syst,2022
3. X-in-the-loop advanced driving simulation platform for the design, development, testing and validation of ADAS;S Moten;Proc. IEEE Intell. Veh. Symp. (IV),2018
4. End-toend driving model for steering control of autonomous vehicles with future spatiotemporal features;T Wu;Proc. IEEE/RSJ Inter. Conf. Intell. Robots and Syst. (IROS),2019
5. Towards accountability: Providing intelligible explanations in autonomous driving;D Omeiza;Proc. IEEE Intell. Veh. Symp. (IV),2021