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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.RO2019
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
Boyang Wang, Jianwei Gong, Wenli Liang +1
How to integrate human factors into the motion planning system is of great significance for improving the acceptance of intelligent vehicles. Decomposing motion into primitives and…
cs.RO2018
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications
Boyang Wang, Jianwei Gong, Ruizeng Zhang +1
Developing an intelligent vehicle which can perform human-like actions requires the ability to learn basic driving skills from a large amount of naturalistic driving data. The algo…