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of 3
pro vyhledávání: '"Manh-Dung Vu"'
Autor:
Manh-Dung Vu, Sueharu Nagiri, Hirofumi Aoki, Tatsuya Suzuki, Quy Hung Nguyen Van, Shouji Itou, Akira Hattori
Publikováno v:
International Journal of Automotive Engineering, Vol 13, Iss 2, Pp 74-82 (2022)
To increase the acceptance and willingness of customers in using advanced driver assistance systems and autonomous vehicles, one of the best solutions is to reproduce the driving behavior of humans. In this regard, estimating risk based on driver beh
Externí odkaz:
https://doaj.org/article/9fdaa1cd323e4939baf22c3a83f3e663
Autor:
Manh Dung Vu, Hirofumi Aoki, Tatsuya Suzuki, Sueharu Nagiri, Quy Hung Nguyen Van, Shouji Itou, Akira Hattori
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6361 (2021)
This paper discusses driving styles while overtaking a vulnerable road user who moves along the shoulder in urban roads. Based on the data obtained from an experiment in pre-defined conditions (combinations of four main effects: vehicle’s initial s
Externí odkaz:
https://doaj.org/article/65d79bedd1b442f780d5e6a5d8d660e4
Autor:
Quy Hung Nguyen Van, Shouji Itou, Tatsuya Suzuki, Akira Hattori, Manh Dung Vu, Hirofumi Aoki, Sueharu Nagiri
Publikováno v:
Applied Sciences, Vol 11, Iss 6361, p 6361 (2021)
Applied Sciences; Volume 11; Issue 14; Pages: 6361
Applied Sciences; Volume 11; Issue 14; Pages: 6361
This paper discusses driving styles while overtaking a vulnerable road user who moves along the shoulder in urban roads. Based on the data obtained from an experiment in pre-defined conditions (combinations of four main effects: vehicle’s initial s