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20212026
most citedPillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR

67 citations · 90 across the 14 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

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.LG2022

Continual Vision-based Reinforcement Learning with Group Symmetries

Shiqi Liu, Mengdi Xu, Piede Huang +3

Continual reinforcement learning aims to sequentially learn a variety of tasks, retaining the ability to perform previously encountered tasks while simultaneously developing new po…

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…

eess.SY2022

Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles

Abdul Rahman Kreidieh, Yashar Farid, Kentaro Oguchi

The prevalence of high-speed vehicle-to-everything (V2X) communication will likely significantly influence the future of vehicle autonomy. In several autonomous driving application…

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.SE2022★ 10 cited

Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform

Zhengwei Bai, Guoyuan Wu, Xuewei Qi +3

Endowed with automation and connectivity, Connected and Automated Vehicles are meant to be a revolutionary promoter for Cooperative Driving Automation. Nevertheless, CAVs need high…