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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.15116 |
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| _version_ | 1866929518975909888 |
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| author | Strässer, Robin Seidel, Marc Brändle, Felix Meister, David Soloperto, Raffaele Ferrer, David Hambach Allgöwer, Frank |
| author_facet | Strässer, Robin Seidel, Marc Brändle, Felix Meister, David Soloperto, Raffaele Ferrer, David Hambach Allgöwer, Frank |
| contents | In this paper, we propose a collision avoidance safety filter for autonomous electric scooters to enable safe operation of such vehicles in pedestrian areas. In particular, we employ multiple low-cost ultrasonic sensors to detect a wide range of possible obstacles in front of the e-scooter. Based on possibly faulty distance measurements, we design a filter to mitigate measurement noise and missing values as well as a gain-scheduled controller to limit the velocity commanded to the e-scooter when required due to imminent collisions. The proposed controller structure is able to prevent collisions with unknown obstacles by deploying a reduced safe velocity ensuring a sufficiently large safety distance. The collision avoidance approach is designed such that it may be easily deployed in similar applications of general micromobility vehicles. The effectiveness of our proposed safety filter is demonstrated in real-world experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_15116 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors Strässer, Robin Seidel, Marc Brändle, Felix Meister, David Soloperto, Raffaele Ferrer, David Hambach Allgöwer, Frank Systems and Control Robotics In this paper, we propose a collision avoidance safety filter for autonomous electric scooters to enable safe operation of such vehicles in pedestrian areas. In particular, we employ multiple low-cost ultrasonic sensors to detect a wide range of possible obstacles in front of the e-scooter. Based on possibly faulty distance measurements, we design a filter to mitigate measurement noise and missing values as well as a gain-scheduled controller to limit the velocity commanded to the e-scooter when required due to imminent collisions. The proposed controller structure is able to prevent collisions with unknown obstacles by deploying a reduced safe velocity ensuring a sufficiently large safety distance. The collision avoidance approach is designed such that it may be easily deployed in similar applications of general micromobility vehicles. The effectiveness of our proposed safety filter is demonstrated in real-world experiments. |
| title | Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors |
| topic | Systems and Control Robotics |
| url | https://arxiv.org/abs/2403.15116 |