Zhen-Yu Cheng

Robust traffic scene recognition via bidirectional cross-attention-based vision-map fusion

An end-to-end traffic scene recognition network based on the fusion of monocular camera images and corresponding road map top-down view data is proposed, with an overall recognition accuracy of 92.6%, outperforming the best single-input baseline Swin-Tiny by 3.3%.