Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71732
Title: Development of a vision-based collision avoidance system
Authors: Ang, Wan Qing
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: Vision based collision avoidance system is vital in the development of autonomous driving system. In recent years, the trend leans toward autonomous driving to alleviate accidents caused by human error and broaden the prospect of driving amongst the handicapped. The introduction of such autonomous vehicles into commercial markets is increasing. However, the more proficient prototypes are relying on expensive sets of sensors. Applications such as video surveillance, vehicle detection make use of continuous image acquisition and processing in real time. This requires high amount of bandwidth data and can incur high cost. This project aims to introduce a more affordable vision based collision system to ease the production of autonomous vehicles.
URI: http://hdl.handle.net/10356/71732
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
61-Development_of_a_Vision-based_Collision_Avoidance_System .docx.pdf
  Restricted Access
2.12 MBAdobe PDFView/Open

Page view(s)

293
Updated on Jun 18, 2024

Download(s)

8
Updated on Jun 18, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.