AI RESEARCH
LiteViLNet: Lightweight Vision-LiDAR Fusion Network for Efficient Road Segmentation
arXiv CS.CV
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ArXi:2605.21007v1 Announce Type: new Road segmentation is a fundamental perception task for autonomous driving and intelligent robotic systems, requiring both high accuracy and real-time inference, especially for deployment on resource-constrained edge devices. Existing multi-modal road segmentation methods often rely on heavy transformer-based encoders to achieve state-of-the-art performance, but their enormous computational cost prohibits real-time deployment on embedded platforms.