Fusing collaborative sensor data at detection or tracking level beats fusing predicted trajectories, and a compressed LiDAR-sharing prototype improves forecasting over a single vehicle.
In: Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Sys- tems - VEHITS, pp
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Towards Collaborative Joint Perception and Prediction: Framework, Baseline Evaluation, and Deployment Perspectives
Fusing collaborative sensor data at detection or tracking level beats fusing predicted trajectories, and a compressed LiDAR-sharing prototype improves forecasting over a single vehicle.