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http://dx.doi.org/10.7471/ikeee.2018.22.4.970

Interactive ADAS development and verification framework based on 3D car simulator  

Cho, Deun-Sol (Dept. of Computer Science and Engineering, Koreatech University)
Jung, Sei-Youl (Dept. of Computer Science and Engineering, Koreatech University)
Kim, Hyeong-Su (Dept. of Computer Science and Engineering, Koreatech University)
Lee, Seung-gi (Dept. of Computer Science and Engineering, Koreatech University)
Kim, Won-Tae (Dept. of Computer Science and Engineering, Koreatech University)
Publication Information
Journal of IKEEE / v.22, no.4, 2018 , pp. 970-977 More about this Journal
Abstract
The autonomous vehicle is based on an advanced driver assistance system (ADAS) consisting of a sensor that collects information about the surrounding environment and a control module that determines the measured data. As interest in autonomous navigation technology grows recently, an easy development framework for ADAS beginners and learners is needed. However, existing development and verification methods are based on high performance vehicle simulator, which has drawbacks such as complexity of verification method and high cost. Also, most of the schemes do not provide the sensing data required by the ADAS directly from the simulator, which limits verification reliability. In this paper, we present an interactive ADAS development and verification framework using a 3D vehicle simulator that overcomes the problems of existing methods. ADAS with image recognition based artificial intelligence was implemented as a virtual sensor in a 3D car simulator, and autonomous driving verification was performed in real scenarios.
Keywords
Autonomous vehicle; Vehicle Simulator; ADAS Development; ADAS Verification; Artificial Intelligence;
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Times Cited By KSCI : 1  (Citation Analysis)
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