Title :
Development of intelligent electric vehicle for study of unmanned autonomous driving algorithm
Author :
In Yub Kim ; Kwan Suk Yang ; Jin Joo Baek ; Sung-Ho Hwang
Author_Institution :
Sch. of Mechenical Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
World-class automakers such as BMW, Audi, GM and even IT Company Google are giving much effort in developing unmanned autonomous vehicles. As it can be seen from IEEE report that 3 of every 4 vehicles in 2040 will be unmanned, the studies on future unmanned vehicles have become very important issues these days. This report proposes an intelligent electric vehicle, developed for unmanned autonomous driving algorithm study. This intelligent electric vehicle directly controls traditional steering device and acceleration/brake pedals through electrical signals with electronic actuators which were equipped at each component. Also, various sensors were utilized to recognize surrounding situations, obstacles, and road boundary instead of human. The obtained sensor data and vehicle state are used for performing of unmanned autonomous driving, evaluating the performance of intelligent vehicles.
Keywords :
brakes; electric vehicles; intelligent actuators; intelligent sensors; remotely operated vehicles; steering systems; Audi; BMW; GM; IEEE report; IT Company Google; acceleration-brake pedal; electronic actuator; intelligent electric vehicle; sensor; steering device; unmanned autonomous driving algorithm; unmanned autonomous vehicle; world-class automaker; Actuators; Batteries; Intelligent sensors; Sensor systems; Traction motors; Vehicles; EV; Electric Drive; Intelligent; NEV (neighbourhood EV);
Conference_Titel :
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
Conference_Location :
Barcelona
DOI :
10.1109/EVS.2013.6914812