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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Development of Intelligent Electric Vehicle for Study of Unmanned Autonomous Driving Algorithm

School of Mechatronics Engineering Sungkyunkwan University, Suwon 440-746, Gyeonggi, Korea
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World Electr. Veh. J. 2013, 6(1), 135-140; https://doi.org/10.3390/wevj6010135
Published: 29 March 2013
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: Electric Drive; EV; Intelligent; NEV (neighbourhood EV) Electric Drive; EV; Intelligent; NEV (neighbourhood EV)
MDPI and ACS Style

Kim, I.Y.; Yang, K.S.; Baek, J.J.; Hwang, S.-H. Development of Intelligent Electric Vehicle for Study of Unmanned Autonomous Driving Algorithm. World Electr. Veh. J. 2013, 6, 135-140.

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