Surround vehicle tracking and motion prediction
AssigneeThe Regents of the University of California
InventorsAkshay Rangesh, Mohan M. Trivedi, Nachiket Deo
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AssigneeThe Regents of the University of California
InventorsAkshay Rangesh, Mohan M. Trivedi, Nachiket Deo
Estimating the term…
A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion.
A computer-implemented method, comprising:
A system, comprising:
A non-transitory computer-readable storage medium including program code, which when executed by at least one data processor, causes operations comprising:
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