Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation. Common challenges in the prediction include forecasting the relative position of other vehicles, modelling the dynamics of vehicles subjected to different traffic condi...

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Hauptverfasser:	Mann, Khushdeep Singh, Tomy, Abhishek, Paigwar, Anshul, Renzaglia, Alessandro, Laugier, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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