AI RESEARCH
OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
arXiv CS.CV
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ArXi:2503.23365v2 Announce Type: replace With the acceleration of urbanization and the growth of transportation demands, the safety of vulnerable road users (VRUs, such as pedestrians and cyclists) in mixed traffic flows has become increasingly prominent, necessitating high-precision and diverse trajectory data to the development and optimization of autonomous driving systems. However, existing datasets fall short in capturing the diversity and dynamics of VRU behaviors, making it difficult to meet the research demands of complex traffic environments.