… If widespread deployment can be realized, annual social benefits of ADSs are projected
to reach nearly $800 billion by 2050 through congestion mitigation, road casualty reduction, …

… current autonomous driving computing … autonomous driving, including seven performance
metrics and nine key technologies, followed by 12 challenges to realize autonomous driving. …

… We extend the scope of that work and describe the essential elements of end-to-end
autonomous driving, and the role of and potential challenges with explanations in such a setting. …

… Autonomous Driving … work to comprehensively investigate the joint cooperation of such a
variety of tasks including perception, prediction and planning in the field of autonomous driving. …

… vehicles. The planning or control module, responsible for generating steering and acceleration
outputs, plays a crucial role in determining the driving … -end autonomous driving systems …

… the domain of autonomous driving expanding our conference … RL applied to autonomous
driving or the self driving domain is … The main contributions of this work can be summarized as …

… processing technologies have a significant impact on autonomous driving (AD), improving
driving safety while minimizing the efforts of human drivers with the help of advanced artificial …

… Abstract—Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at
a rapid pace due to the convenience, safety, and economic benefits. Although a number of …

… and public transport system, design a congestion pricing scheme to achieve maximum social
welfare (system optimality). Another example, Gurumurthy et al. (2019) modelled a system …

… autonomous driving by introducing DriveGPT4, a novel interpretable endto-end autonomous
driving … tuning dataset for interpretable autonomous driving with the assistance of ChatGPT. …