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02/28/2022
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud
Environment perception including detection, classification, tracking, an...
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01/19/2022
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Taking advantage of both vehicle-to-everything (V2X) communication and a...
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01/27/2021
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Ramp merging is considered as one of the major causes of traffic congest...
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01/24/2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
This paper presented a deep reinforcement learning method named Double D...
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11/08/2019
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network
Accurate lane localization and lane change detection are crucial in adva...
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11/08/2019
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Ride-hailing services are growing rapidly and becoming one of the most d...
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02/09/2019
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data
Connected vehicle and driver's assistance applications are greatly facil...
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09/08/2018