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20202026
most citedAutonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

10 citations · 26 across the 13 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.RO2021★ 2 cited

Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation

Jinghang Li, Chao Lu, Penghui Li +3

This paper presents a driver-specific risk recognition framework for autonomous vehicles that can extract inter-vehicle interactions. This extraction is carried out for urban drivi…

cs.RO2021

Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach

Zheyu Zhang, Boyang Wang, Chao Lu +3

In recent years, road safety has attracted significant attention from researchers and practitioners in the intelligent transport systems domain. As one of the most common and vulne…

cs.RO2021★ 2 cited

Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle

Cheng Gong, Jianwei Gong, Chao Lu +2

This paper proposes a life-long adaptive path tracking policy learning method for autonomous vehicles that can self-evolve and self-adapt with multi-task knowledge. Firstly, the pr…

cs.RO2021

Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot

Cheng Gong, Zirui Li, Xingyu Zhou +3

Omni-directional mobile robot (OMR) systems have been very popular in academia and industry for their superb maneuverability and flexibility. Yet their potential has not been fully…

cs.RO2021★ 10 cited

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

Lianzhen Wei, Zirui Li, Jianwei Gong +2

Due to the complex and dynamic character of intersection scenarios, the autonomous driving strategy at intersections has been a difficult problem and a hot point in the research of…