首页|A methodology for generating driving styles for autonomous cars
A methodology for generating driving styles for autonomous cars
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Taylor & Francis
This work is about the generation of driving styles for autonomous cars. Here, we propose a definition of driving style based on the partition of controller parameters for self-driving vehicles. The main contributions of this work are the following. 1) A methodology based on the controllers' parameters for creating comfortable driving styles that can be used as autonomous cars' operation modes. 2) A proposal to use virtual reality as a testbed for the evaluation of driving styles by users. 3) As an illustration of our methodology, we determine and evaluate distinguishable driving styles by partitioning the time-to-collision parameter of the Intelligent Driver Model (IDM) controller using the Just Noticeable Difference (JND). 4) A proposal of four driving styles that are equally preferable among passengers.
Rafael Peralta、Israel Becerra、Ubaldo Ruiz、Rafael Murrieta-Cid
展开 >
Centro de Investigacion Cientffica y de Educacion Superior de Ensenada, Baja California, Mexico
Centro de Investigation en Matematicas, Guanajuato, Mexico||Consejo Nacional de Ciencia y Tecnologfa, Ciudad de Mexico, Mexico
Centro de Investigacion Cientffica y de Educacion Superior de Ensenada, Baja California, Mexico||Consejo Nacional de Ciencia y Tecnologfa, Ciudad de Mexico, Mexico
Centro de Investigation en Matematicas, Guanajuato, Mexico
NETL
NSTL
Taylor & Francis
