Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning
@article{Li2021EnergyEfficientAD, title={Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning}, author={Huayi Li and Nan I. Li and Ilya V. Kolmanovsky and Anouck R. Girard}, journal={ArXiv}, year={2021}, volume={abs/2111.13966} }
Autonomous driving technologies are expected to not only improve mobility and road safety but also bring energy e ciency benefits. In the foreseeable future, autonomous vehicles (AVs) will operate on roads shared with human-driven vehicles. To maintain safety and liveness while simultaneously minimizing energy consumption, the AV planning and decision-making process should account for interactions between the autonomous ego vehicle and surrounding human-driven vehicles. In this chapter, we…
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