Bifa Liang

ARUNet: Advancing Real-Time Stereo Matching for Robotic Perception on Edge Devices

Accurate real-time 3D depth perception is crucial for robotic systems, enabling navigation, obstacle avoidance, and object manipulation. However, the high computational demands of stereo matching networks hinder their application on resource-constrained robotic platforms. This paper presents ARUNet,