arXiv (OAI Expanded)
open access
BLInD: Learning Driver Intent as a Distribution over Future Ego Trajectories
We present BLInD (Blind Learned Intent Distribution), a compact network that maps recent vehicle-state history (e.g. speed, curvature, indicator, and vehicle type) to a top-k distribution of future ego trajectories, with no camera, LiDAR, map, or object-track inputs. We find that vehiclestate histor
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