Distance monitoring vision system for automobiles using image processing

• Main Authors: Ambata, Leonard U., Lijauco, Marc Carlo E., Nuval, Christian Angelo C., Vergara, Richard Justin V.
• Format: text
• Published: Animo Repository 2016
• Subjects: Signal processing—Digital techniques; Image processing; Intelligent transportation systems; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1374; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2373/type/native/viewcontent
• Institution: De La Salle University

This study aims to create a vision system for vehicles that would prevent frontal collisions. The system is more of an aid to the driver, giving notifications whenever there is a possibility of collision. With the use of a camera, this system is able to get series of images that would undergo processes of detection and distance calculations. And by utilizing OpenCV, detection of vehicles through Haar and distance measurement by perspective warping have been possible. Critical distances relative to the current speed of the system's vehicle is the point of comparison that would result to proper notification of Green LED, Red Led or Red LED + buzzer. The On-board Diagnostic 2 terminal of newer vehicles enables input of speed to the system. And overall, the processes happen in an embedded system (Blackfin ADSP 537) that allows stand- alone operation, thus creating a system that works while on the road. © 2015 IEEE.