Tracking the Invisible: Self-Supervised Wheel Track Detection with Thermal-RGB Fusion
From the abstract
Accurate detection of drivable area is essential for autonomous driving and advanced driver assistance systems. While state-of-the-art methods focus on general traversability estimation, they prove inadequate for snow-covered roads where following existing wheel tracks offers crucial advantages: improved traction, predictable vehicle dynamics, and verified path stability.
From the abstract. Our summary is in progress.