mlsanityData to 14 Oct 2026

Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art

arXiv 2503.08695 ↗First posted 4 Mar 2025cs.CV cs.RO eess.IVcited by 13

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Abstract (arXiv)

In this paper, we review the state of the art in Out-of-Distribution (OoD) segmentation, with a focus on road obstacle detection in automated driving as a real-world application. We analyse the performance of existing methods on two widely used benchmarks, SegmentMeIfYouCan Obstacle Track and LostAndFound-NoKnown, highlighting their strengths, limitations, and real-world applicability. Additionally, we discuss key challenges and outline potential research directions to advance the field. Our goal is to provide researchers and practitioners with a comprehensive perspective on the current landscape of OoD segmentation and to foster further advancements toward safer and more reliable autonomous driving systems.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 60 of its 74 references that are in the map. First posted on arXiv 4 Mar 2025.

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60 of 74 references.

References · 60

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 8.

13 papers.

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  1. 2026Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environmentscited by 6
  2. 2025Panoramic Out-of-Distribution Segmentationcited by 2
  3. 2025Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systemscited by 2
  4. 2026Vendi Novelty Scores for Out-of-Distribution Detectioncited by 1
  5. 2026MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapsecited by 1
  6. 2026FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topologycited by 1
  7. 2025Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehiclescited by 0
  8. 2025RankOOD -- Class Ranking-based Out-of-Distribution Detectioncited by 0
  9. 2025ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Datacited by 0
  10. 2026SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classificationcited by 0
  11. 2026Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learningcited by 0
  12. 2026Towards Real-Time PixOOD: Efficient Anomaly Segmentation for Autonomous Vehiclescited by 0
1 more
  1. 2026Progressive Risk Estimation for Accident Anticipationcited by 0