Barnett, Jevin ; Gizinski, Nicholas ; Mondragón-Parra, Eduardo ; Siegel, Joshua ; Morris, Daniel ; Gates, Timothy ; Kassens-Noor, Eva ; Savolainen, Peter (2020)
Automated vehicles sharing the road: Surveying detection and localization of pedalcyclists.
In: IEEE Transactions on Intelligent Vehicles, 6 (4)
doi: 10.1109/TIV.2020.3046859
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Automated Vehicles (AVs) must comply with traffic laws, including those requiring motorists to maintain safe distances when passing pedalcyclists. We review relevant U.S. legislation, statistics of traffic accidents in the U.S. resulting in pedalcyclists fatalities, and present “what if” scenarios for AV and pedalcyclist interactions to illustrate safety-preserving algorithms’ necessary ethical considerations. We identify a need for pervasive cyclist identification to improve situational awareness and propose as a solution the concept of using AV-mounted Bluetooth receivers for identifying and localizing a pedalcyclist's “beaconing” Bluetooth device, e.g., a preexisting, low-cost performance monitoring system. This method estimates the distance-to-bicycle from the receivers’ Received Signal Strength Indicator (RSSI). Experimental results prove its feasibility for coarse pedalcyclist localization. Such a system may augment contemporary vision-based detection systems, thereby improving detection resilience and safety, particularly in dark or poor weather conditions.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Barnett, Jevin ; Gizinski, Nicholas ; Mondragón-Parra, Eduardo ; Siegel, Joshua ; Morris, Daniel ; Gates, Timothy ; Kassens-Noor, Eva ; Savolainen, Peter |
| Art des Eintrags: | Bibliographie |
| Titel: | Automated vehicles sharing the road: Surveying detection and localization of pedalcyclists |
| Sprache: | Englisch |
| Publikationsjahr: | 23 Dezember 2020 |
| Verlag: | IEEE |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Transactions on Intelligent Vehicles |
| Jahrgang/Volume einer Zeitschrift: | 6 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.1109/TIV.2020.3046859 |
| Kurzbeschreibung (Abstract): | Automated Vehicles (AVs) must comply with traffic laws, including those requiring motorists to maintain safe distances when passing pedalcyclists. We review relevant U.S. legislation, statistics of traffic accidents in the U.S. resulting in pedalcyclists fatalities, and present “what if” scenarios for AV and pedalcyclist interactions to illustrate safety-preserving algorithms’ necessary ethical considerations. We identify a need for pervasive cyclist identification to improve situational awareness and propose as a solution the concept of using AV-mounted Bluetooth receivers for identifying and localizing a pedalcyclist's “beaconing” Bluetooth device, e.g., a preexisting, low-cost performance monitoring system. This method estimates the distance-to-bicycle from the receivers’ Received Signal Strength Indicator (RSSI). Experimental results prove its feasibility for coarse pedalcyclist localization. Such a system may augment contemporary vision-based detection systems, thereby improving detection resilience and safety, particularly in dark or poor weather conditions. |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr > Institut für Verkehrsplanung und Verkehrstechnik |
| Hinterlegungsdatum: | 27 Mär 2024 10:16 |
| Letzte Änderung: | 27 Mär 2024 10:16 |
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