Research on Autonomous Driving Simulator Control and Decision Algorithms based on Computer Vision Methods

DOI

10.2991/iccia-19.2019.21How to use a DOI?

Keywords

Autonomous Driving, Computer Vision Methods, Decision Algorithms.

Abstract

Researches on perception and control technologies are the most crucial area in autonomous driving systems and is the core to achieve fully autonomous driving. Simulations, especially hardware-in-loop and algorithms-in-loop could accelerate the testing process. In this article, based on the second World Intelligent Driving Challenge took place in Tianjin, held by CATARC in May 2018, with the combination of computer vision, edge detection, objection detection, Kalman filter and vehicle dynamics methods, constructed in the Automotive Artificial Intelligence Simulator environment, aiming at paving the road to the better research on simulation testing and autonomous driving.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bolin Zhou
AU  - Jihu Zheng
AU  - Pei Yin
AU  - Chen Chen
AU  - Yang Zhai
PY  - 2019/07
DA  - 2019/07
TI  - Research on Autonomous Driving Simulator Control and Decision Algorithms based on Computer Vision Methods
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 140
EP  - 146
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.21
DO  - 10.2991/iccia-19.2019.21
ID  - Zhou2019/07
ER  -