most citedEco-Routing Navigation System for Electric Vehicles

6 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY20206 cited

Eco-Routing Navigation System for Electric Vehicles

Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth

The goal of this project is to determine the feasibility of calculating a travel route for an electric vehicle (EV) that will require the least amount of energy for the trip, and t…

cs.CV20202 cited

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning

Zhensong Wei, Yu Jiang, Xishun Liao +5

This paper presented a deep reinforcement learning method named Double Deep Q-networks to design an end-to-end vision-based adaptive cruise control (ACC) system. A simulation envir…

cs.CV20191 cited

Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network

Zhensong Wei, Chao Wang, Peng Hao +1

Accurate lane localization and lane change detection are crucial in advanced driver assistance systems and autonomous driving systems for safer and more efficient trajectory planni…

eess.SY20192 cited

Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Electric Vehicles

Zhouqiao Zhao, Guoyuan Wu, Ziran Wang +1

Our current transportation system suffers from a number of problems in terms of safety, mobility, and environmental sustainability. The emergence of innovative intelligent transpor…

cs.CV2019

Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data

Mohammad Billah, Farzana Rahman, Arash Maskooki +3

Connected vehicle and driver's assistance applications are greatly facilitated by Enhanced Digital Maps (EDMs) that represent roadway features (e.g., lane edges or centerlines, sto…