GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space

1. 1Identify heterogeneous features from different agents
2. 2Introduce a ground truth feature space to align features
3. 3Fuse data from multiple agents using the ground truth feature space
4. 4Evaluate the performance of the collaborative perception system

This research benefits computer vision engineers and autonomous driving researchers who need to integrate data from multiple sources with different sensing modalities or model architectures, enabling them to improve the accuracy of their perception systems

💡 Introducing a ground truth feature space can efficiently align heterogeneous features from different agents, improving collaborative perception in autonomous driving

🚗💡 GT-Space enhances collaborative perception in autonomous driving by aligning heterogeneous features