Improving Functional Reliability of Near-Field Monitoring for Emergency Braking in Autonomous Vehicles
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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_ | 1866912494632566784 |
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| author | Pan, Junnan Sotiriadis, Prodromos Nenchev, Vladislav Englberger, Ferdinand |
| author_facet | Pan, Junnan Sotiriadis, Prodromos Nenchev, Vladislav Englberger, Ferdinand |
| contents | Autonomous vehicles require reliable hazard detection. However, primary sensor systems may miss near-field obstacles, resulting in safety risks. Although a dedicated fast-reacting near-field monitoring system can mitigate this, it typically suffers from false positives. To mitigate these, in this paper, we introduce three monitoring strategies based on dynamic spatial properties, relevant object sizes, and motion-aware prediction. In experiments in a validated simulation, we compare the initial monitoring strategy against the proposed improvements. The results demonstrate that the proposed strategies can significantly improve the reliability of near-field monitoring systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_15594 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving Functional Reliability of Near-Field Monitoring for Emergency Braking in Autonomous Vehicles Pan, Junnan Sotiriadis, Prodromos Nenchev, Vladislav Englberger, Ferdinand Systems and Control Robotics Autonomous vehicles require reliable hazard detection. However, primary sensor systems may miss near-field obstacles, resulting in safety risks. Although a dedicated fast-reacting near-field monitoring system can mitigate this, it typically suffers from false positives. To mitigate these, in this paper, we introduce three monitoring strategies based on dynamic spatial properties, relevant object sizes, and motion-aware prediction. In experiments in a validated simulation, we compare the initial monitoring strategy against the proposed improvements. The results demonstrate that the proposed strategies can significantly improve the reliability of near-field monitoring systems. |
| title | Improving Functional Reliability of Near-Field Monitoring for Emergency Braking in Autonomous Vehicles |
| topic | Systems and Control Robotics |
| url | https://arxiv.org/abs/2507.15594 |