AVOID: Dataset for Driving Scene Understanding in Adverse Conditions
Published:Dec 29, 2025 05:34
•1 min read
•ArXiv
Analysis
This paper introduces a new dataset, AVOID, specifically designed to address the challenges of road scene understanding for self-driving cars under adverse visual conditions. The dataset's focus on unexpected road obstacles and its inclusion of various data modalities (semantic maps, depth maps, LiDAR data) make it valuable for training and evaluating perception models in realistic and challenging scenarios. The benchmarking and ablation studies further contribute to the paper's significance by providing insights into the performance of existing and proposed models.
Key Takeaways
Reference
“AVOID consists of a large set of unexpected road obstacles located along each path captured under various weather and time conditions.”