SD-RouteFusion reports a 16.9% reduction in 8-second average displacement error for ego-trajectory prediction by fusing SD-map routes with camera and kinematics inputs via a dual-hypothesis gated classifier on 480k real-world scenarios.
Openstreetmap: Challenges and opportunities in machine learning and remote sensing,
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SD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route Conditioning
SD-RouteFusion reports a 16.9% reduction in 8-second average displacement error for ego-trajectory prediction by fusing SD-map routes with camera and kinematics inputs via a dual-hypothesis gated classifier on 480k real-world scenarios.