Hardware Simulation of Camera-based Rear-End Collision Avoidance System using Fuzzy Logic

DOI

10.2991/aer.k.201221.018How to use a DOI?

Keywords

Rear-End Collision-Avoidance System, camera-based RCAS, Fuzzy Logic Algorithm, Active Steering Assist

Abstract

RCAS (Rear-end Collision Avoidance Systems) is one of the safety features in autonomous cars that can determine what kind of movement that a car installed with the RCAS system should perform to avoid any crashes with another car/object in front of it. This camera-based RCAS uses a Pixy CMUCAM5 camera to measure the distance of a leading car. The measured distance used as the input of a Fuzzy Logic Algorithm will determine the speed and steering angle of the car. This system is applied to a small toy car with an Active Steering Assist to execute the calculated movement that should be performed by the car. The use of this system is proven to improve the level of the safety of the car by successfully avoiding possible collisions.

Copyright

© 2020, 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  - Noor Cholis Basjaruddin
AU  - Fazrin Adinugraha
AU  - Pebriyanto Pujiputra
AU  - Didin Saefudin
AU  - Edi Rakhma
PY  - 2020
DA  - 2020/12/22
TI  - Hardware Simulation of Camera-based Rear-End Collision Avoidance System using Fuzzy Logic
BT  - Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020)
PB  - Atlantis Press
SP  - 96
EP  - 102
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201221.018
DO  - 10.2991/aer.k.201221.018
ID  - Basjaruddin2020
ER  -