3 papers
cs.CV2026
LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
Ji-il Park, Inwook Shim
LiDAR sensors provide high-resolution 3D perception and long-range detection, making them indispensable for autonomous driving and robotics. However, their performance significantl…
cs.RO2026
SyNeT: Synthetic Negatives for Traversability Learning
Bomena Kim, Hojun Lee, Younsoo Park +3
Reliable traversability estimation is crucial for autonomous robots to navigate complex outdoor environments safely. Existing self-supervised learning frameworks primarily rely on…
cs.CV2025
SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability
Juho Bai, Inwook Shim
Accurate prediction of pedestrian trajectories is essential for applications in robotics and surveillance systems. While existing approaches primarily focus on social interactions…