Road Grip Uncertainty Estimation Through Surface State Segmentation
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866917982581555200 |
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| author | Maanpää, Jyri Pesonen, Julius Melekhov, Iaroslav Hyyti, Heikki Hyyppä, Juha |
| author_facet | Maanpää, Jyri Pesonen, Julius Melekhov, Iaroslav Hyyti, Heikki Hyyppä, Juha |
| contents | Slippery road conditions pose significant challenges for autonomous driving. Beyond predicting road grip, it is crucial to estimate its uncertainty reliably to ensure safe vehicle control. In this work, we benchmark several uncertainty prediction methods to assess their effectiveness for grip uncertainty estimation. Additionally, we propose a novel approach that leverages road surface state segmentation to predict grip uncertainty. Our method estimates a pixel-wise grip probability distribution based on inferred road surface conditions. Experimental results indicate that the proposed approach enhances the robustness of grip uncertainty prediction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_08452 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Road Grip Uncertainty Estimation Through Surface State Segmentation Maanpää, Jyri Pesonen, Julius Melekhov, Iaroslav Hyyti, Heikki Hyyppä, Juha Computer Vision and Pattern Recognition Slippery road conditions pose significant challenges for autonomous driving. Beyond predicting road grip, it is crucial to estimate its uncertainty reliably to ensure safe vehicle control. In this work, we benchmark several uncertainty prediction methods to assess their effectiveness for grip uncertainty estimation. Additionally, we propose a novel approach that leverages road surface state segmentation to predict grip uncertainty. Our method estimates a pixel-wise grip probability distribution based on inferred road surface conditions. Experimental results indicate that the proposed approach enhances the robustness of grip uncertainty prediction. |
| title | Road Grip Uncertainty Estimation Through Surface State Segmentation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2504.08452 |