Chalavadi Vishnu

2023

Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios

Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu

RA-L 2023

Predicting trajectories of multiple agents in interactive driving scenarios such as intersections, and roundabouts are challenging due to the high density of agents, varying speeds, and environmental obstacles. Existing approaches use relative distance and semantic maps of intersections to improve t

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Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios"

Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios