CVPR2024
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles
Rui Song, Chenwei Liang, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll
摘要
Figure 1 . Collaborative semantic occupancy prediction leverages the power of collaboration in multi-agent systems for 3D occupancy prediction and semantic segmentation. This approach enables a deeper understanding of the 3D road environment by sharing latent features among connected automated vehicles (CAVs), surpassing the ground truth captured by a multi-camera system in the ego vehicle.