Multi-actuators vehicle collision avoidance system - Experimental validation

The Insurance Institute for Highway Safety (IIHS) of the United States of America in their reports has mentioned that a significant amount of the road mishaps would be preventable if more automated active safety applications are adopted into the vehicle. This includes the incorporation of collision...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-04, Vol.342 (1), p.12018
Main Authors: Abdul Hamid, Umar Zakir, Zakuan, Fakhrul Razi Ahmad, Zulkepli, Khairul Akmal, Azmi, Muhammad Zulfaqar, Zamzuri, Hairi, Rahman, Mohd Azizi Abdul, Zakaria, Muhammad Aizzat
Format: Article
Language:English
Subjects:
Actuation
Actuators
Barriers
Braking
Collision avoidance
Collisions
Highway safety
Motion control
Real time
Steering
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Summary:The Insurance Institute for Highway Safety (IIHS) of the United States of America in their reports has mentioned that a significant amount of the road mishaps would be preventable if more automated active safety applications are adopted into the vehicle. This includes the incorporation of collision avoidance system. The autonomous intervention by the active steering and braking systems in the hazardous scenario can aid the driver in mitigating the collisions. In this work, a real-time platform of a multi-actuators vehicle collision avoidance system is developed. It is a continuous research scheme to develop a fully autonomous vehicle in Malaysia. The vehicle is a modular platform which can be utilized for different research purposes and is denominated as Intelligent Drive Project (iDrive). The vehicle collision avoidance proposed design is validated in a controlled environment, where the coupled longitudinal and lateral motion control system is expected to provide desired braking and steering actuation in the occurrence of a frontal static obstacle. Results indicate the ability of the platform to yield multi-actuators collision avoidance navigation in the hazardous scenario, thus avoiding the obstacle. The findings of this work are beneficial for the development of a more complex and nonlinear real-time collision avoidance work in the future.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/342/1/012018