Bicycle-based collision prevention system using pedestrian trajectory prediction with an iPhone

There were 70,301 bicycle accidents in 2023 in Japan, resulting in 362 fatalities and serious injuries from pedestrian and bicycle accidents. In this study, we propose a bicycle-based collision prevention system using pedestrian trajectory prediction with an iPhone. We conducted real-time experiments while riding a bicycle and confirmed that the proposed system issued warnings at a more appropriate timing than the conventional systems.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/candarw64572.2024.00072
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
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Bicycle-based collision prevention system using pedestrian trajectory prediction with an iPhone

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Bicycle-based collision prevention system using pedestrian trajectory prediction with an iPhone

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article en

Abstract

There were 70,301 bicycle accidents in 2023 in Japan, resulting in 362 fatalities and serious injuries from pedestrian and bicycle accidents. In this study, we propose a bicycle-based collision prevention system using pedestrian trajectory prediction with an iPhone. We conducted real-time experiments while riding a bicycle and confirmed that the proposed system issued warnings at a more appropriate timing than the conventional systems.

Saga University (JP)
Openalex Percentile: Top 74%
IoT and GPS-based Vehicle Safety Systems
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