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

Print

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

Embargo Period

12-13-2021

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