151 citations · 163 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 151 cited
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Zhengwei Bai, Peng Hao, Wei Shangguan +2
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving technology, connected and automated vehicles are quickly becoming one of the transformative…
cs.CV2019★ 2 cited
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network
Zhengwei Bai, Baigen Cai, Wei Shangguan +1
Motion Planning, as a fundamental technology of automatic navigation for the autonomous vehicle, is still an open challenging issue in the real-life traffic situation and is mostly…
cs.LG2019★ 10 cited
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic
Zhengwei Bai, Baigen Cai, Wei Shangguan +1
High-level driving behavior decision-making is an open-challenging problem for connected vehicle technology, especially in heterogeneous traffic scenarios. In this paper, a deep re…