Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yasuhide Kuroda"'
Autor:
Hanwool Woo, Yonghoon Ji, Yusuke Tamura, Yasuhide Kuroda, Takashi Sugano, Yasunori Yamamoto, Atsushi Yamashita, Hajime Asama
Publikováno v:
International Journal of Automotive Engineering, Vol 9, Iss 4, Pp 282-288 (2018)
We propose a method to predict trajectories of surrounding vehicles considering individual drivingcharacteristics. Trajectory prediction of surrounding vehicles is attracting a lot of attention now, and it is expected to apply to advanced driver assi
Externí odkaz:
https://doaj.org/article/10eb58038ecf4b09b963f3b16304935d
Autor:
Hanwool Woo, Yonghoon Ji, Yusuke Tamura, Yasuhide Kuroda, Takashi Sugano, Yasunori Yamamoto, Atsushi Yamashita, Hajime Asama
Publikováno v:
International Journal of Automotive Engineering, Vol 9, Iss 1, Pp 31-38 (2018)
In this paper, a novel method is proposed to estimate the driving styles of other drivers based on a driving risk feature. This new feature is proposed using a dynamic potential field method wherein the distribution changes depending on the relative
Externí odkaz:
https://doaj.org/article/25a467576c124ebab38b1f9752829fe9
Autor:
Hanwool Woo, Yonghoon Ji, Hitoshi Kono, Yusuke Tamura, Yasuhide Kuroda, Takashi Sugano, Yasunori Yamamoto, Atsushi Yamashita, Hajime Asama
Publikováno v:
International Journal of Automotive Engineering, Vol 7, Iss 4, Pp 127-134 (2016)
This paper presents a new method to detect lane changes of other vehicles automatically. The main contribution of this work is to propose a new feature using a potential field that changes the distribution depending on the relative number of adjacent
Externí odkaz:
https://doaj.org/article/5e9a8be4281f4d9a98fd9023003170d9
Autor:
Yasunori Yamamoto, Hajime Asama, Hanwool Woo, Takashi Sugano, Atsushi Yamashita, Yonghoon Ji, Yusuke Tamura, Yasuhide Kuroda
Publikováno v:
Advanced Robotics. 33:1087-1098
This paper presents a novel method to detect when a vehicle is changing lanes by considering individual driving styles. Some previous works have focused on the relation between lane changes...
Autor:
Yusuke Tamura, Hanwool Woo, Takashi Sugano, Atsushi Yamashita, Yasunori Yamamoto, Yonghoon Ji, Hajime Asama, Yasuhide Kuroda
Publikováno v:
International Journal of Automotive Engineering. 9:31-38
Autor:
Hajime Asama, Yasuhide Kuroda, Hanwool Woo, Takashi Sugano, Yonghoon Ji, Atsushi Yamashita, Yasunori Yamamoto, Yusuke Tamura
Publikováno v:
International Journal of Automotive Engineering. 9:282-288
Autor:
Hajime Asama, Yasunori Yamamoto, Hanwool Woo, Takashi Sugano, Yasuhide Kuroda, Atsushi Yamashita, Hitoshi Kono, Yusuke Tamura, Yonghoon Ji
Publikováno v:
IEEE Robotics and Automation Letters. 2:1109-1116
We propose a new detection method to predict a vehicle's trajectory and use it for detecting lane changes of surrounding vehicles. According to the previous research, more than 90% of the car crashes are caused by human errors, and lane changes are t
Autor:
Hajime Asama, Takashi Sugano, Atsushi Yamashita, Yasuhide Kuroda, Yasunori Yamamoto, Yonghoon Ji, Hanwool Woo, Yusuke Tamura
Publikováno v:
ITSC
In this study, we propose the advanced adaptive cruise control for assessing the collision risk with surrounding vehicles and control the ego vehicle as a way to improve driving safety. Autonomous driving and advanced driver assistance systems (ADAS)
Autor:
Hajime Asama, Hanwool Woo, Yasunori Yamamoto, Atsushi Yamashita, Yonghoon Ji, Takashi Sugano, Yusuke Tamura, Yasuhide Kuroda
Publikováno v:
ITSC
In this paper, a novel method is proposed to classify drivers in vehicle following behavior. The main contribution of this work is to construct a method to classify drivers as the fundamental model to consider characteristics of each driver under a s
Autor:
Yasunori Yamamoto, Hanwool Woo, Takashi Sugano, Hajime Asama, Yasuhide Kuroda, Hitoshi Kono, Yonghoon Ji, Atsushi Yamashita, Yusuke Tamura
Publikováno v:
2016 16th International Conference on Control, Automation and Systems (ICCAS).
We propose a feature extraction method for lane changes of other traffic participants. According to previous research, over 90 % of car crashes are caused by human mistakes, and lane changes are the main factor. Therefore, if an intelligent system ca