Predicting Future Spatiotemporal Occupancy Grids with Semantic Information for Autonomous Driving

Incorporating semantic information into an environment prediction model can improve the accuracy and robustness of future occupancy grid predictions, especially in maintaining the appearance of moving objects for longer prediction time horizons.