Work

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

Year: 2024

Type: conference-paper

Source: International Symposium on Computing and Networking Workshops (CANDARW)

DOI: 10.1109/candarw64572.2024.00072

Authors: Makoto Eguchi, Nobuhiko Yamaguchi, Osamu Fukuda, Hiroshi Okumura, Wen Liang Yeoh

Institution: Saga University

Language: English

Topic: Traffic and Road Safety

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Good health and well-being

Open Access status: closed

OpenAlex ID: W4405936954

FWCI: 1.105

Cites: 6

Cited by: 1

Related to: 10