activity
20192023
most citedHybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

151 citations · 252 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2023★ 2 cited

Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth +3

Cooperative perception (CP) is attracting increasing attention and is regarded as the core foundation to support cooperative driving automation, a potential key solution to address…

cs.CV2022

VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth +3

Utilizing the latest advances in Artificial Intelligence (AI), the computer vision community is now witnessing an unprecedented evolution in all kinds of perception tasks, particul…

cs.CV2022★ 8 cited

A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth +4

Perceiving the environment is one of the most fundamental keys to enabling Cooperative Driving Automation (CDA), which is regarded as the revolutionary solution to addressing the s…

cs.CV2022★ 67 cited

PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth +3

3D object detection plays a fundamental role in enabling autonomous driving, which is regarded as the significant key to unlocking the bottleneck of contemporary transportation sys…

cs.CV2022

Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud

Zhensong Wei, Xuewei Qi, Zhengwei Bai +6

Environment perception including detection, classification, tracking, and motion prediction are key enablers for automated driving systems and intelligent transportation applicatio…

cs.CV2022★ 2 cited

Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR

Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao +6

Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which is regarded as a revolutionary promoter for the next-generation transportation systems. How…

cs.CV2022

Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey

Zhengwei Bai, Guoyuan Wu, Xuewei Qi +3

Object detection plays a fundamental role in enabling Cooperative Driving Automation (CDA), which is regarded as the revolutionary solution to addressing safety, mobility, and sust…

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…