Mori, Ken T. ; Brown, Trent ; Peters, Steven (2023)
Towards Establishing Systematic Classification Requirements for Automated Driving.
2023 IEEE Intelligent Vehicles Symposium (IV). Anchorage, USA (04.06.2023-06.06.2023)
doi: 10.1109/IV55152.2023.10186542
Conference or Workshop Item, Bibliographie
Abstract
Despite the presence of the classification task in many different benchmark datasets for perception in the automotive domain, few efforts have been undertaken to define consistent classification requirements. This work addresses the topic by proposing a structured method to generate a classification structure. First, legal categories are identified based on behavioral requirements for the vehicle. This structure is further substantiated by considering the two aspects of collision safety for objects as well as perceptual categories. A classification hierarchy is obtained by applying the method to an exemplary legal text. A comparison of the results with benchmark dataset categories shows limited agreement. This indicates the necessity for explicit consideration of legal requirements regarding perception.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2023 |
| Creators: | Mori, Ken T. ; Brown, Trent ; Peters, Steven |
| Type of entry: | Bibliographie |
| Title: | Towards Establishing Systematic Classification Requirements for Automated Driving |
| Language: | English |
| Date: | 27 July 2023 |
| Publisher: | IEEE |
| Book Title: | IEEE IV 2023: Symposium Proceedings |
| Collation: | 8 Seiten |
| Event Title: | 2023 IEEE Intelligent Vehicles Symposium (IV) |
| Event Location: | Anchorage, USA |
| Event Dates: | 04.06.2023-06.06.2023 |
| DOI: | 10.1109/IV55152.2023.10186542 |
| URL / URN: | https://ieeexplore.ieee.org/document/10186542 |
| Abstract: | Despite the presence of the classification task in many different benchmark datasets for perception in the automotive domain, few efforts have been undertaken to define consistent classification requirements. This work addresses the topic by proposing a structured method to generate a classification structure. First, legal categories are identified based on behavioral requirements for the vehicle. This structure is further substantiated by considering the two aspects of collision safety for objects as well as perceptual categories. A classification hierarchy is obtained by applying the method to an exemplary legal text. A comparison of the results with benchmark dataset categories shows limited agreement. This indicates the necessity for explicit consideration of legal requirements regarding perception. |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) |
| Date Deposited: | 01 Sep 2023 07:40 |
| Last Modified: | 13 Nov 2024 11:57 |
| PPN: | 511234244 |
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| Suche nach Titel in: | TUfind oder in Google |
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