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cs.CV2026
Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Maps
Rabbia Asghar, Lukas Rummelhard, Wenqian Liu +2
Accurate prediction of driving scene is a challenging task due to uncertainty in sensor data, the complex behaviors of agents, and the possibility of multiple feasible futures. Exi…
cs.CV2024
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
Rabbia Asghar, Wenqian Liu, Lukas Rummelhard +2
Accurate prediction of driving scenes is essential for road safety and autonomous driving. Occupancy Grid Maps (OGMs) are commonly employed for scene prediction due to their struct…
cs.CV2023
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps
Rabbia Asghar, Manuel Diaz-Zapata, Lukas Rummelhard +2
Motion prediction is a challenging task for autonomous vehicles due to uncertainty in the sensor data, the non-deterministic nature of future, and complex behavior of agents. In th…