Distance monitoring vision system for automobiles using image processing
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Communication | Electrical and Electronics
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Leonard U. Ambata
Defense Panel Chair
Edwin Sybingco
Defense Panel Member
Elmer R. Magsino
Roman A. Palo
Abstract/Summary
The thesis 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 Pn-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.
Abstract Format
html
Language
English
Format
Accession Number
TU16896
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
various foliations ; 28 cm.
Keywords
Computer vision; Automotive telematics. Automated vehicles--Equipment and supplies
Recommended Citation
Lijauco, M., Nuval, C. C., & Vergara, R. V. (2012). Distance monitoring vision system for automobiles using image processing. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10585
Embargo Period
12-13-2021