 |
Despite the heavy reliance on backbone networks for sensor fusion, handling spatial alignment effectively in BEV space for camera and radar still remains a challenge. To alleviate, we propose an advanced multimodal fusion method, Adaptive Cross-Attention Gated Network (ACAGN) which built upon RCBEVDet from CVPR 2024. This method integrates two key components. Deformable cross-attention improves spatial alignment with higher precision and adaptive gated network filters and prioritizes sensor features.
|
IEEE/ICACT20250226 Slide.06
[Big Slide]