A neural occupancy predictor trained to imitate artificial potential field maps is reported to improve planning metrics over the APF baseline, but the comparison is confounded because the training target is the baseline itself.
A random finite set approach for dynamic occu- pancy grid maps with real-time application,
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A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
A neural occupancy predictor trained to imitate artificial potential field maps is reported to improve planning metrics over the APF baseline, but the comparison is confounded because the training target is the baseline itself.