NDLI: Android-based driving assistant for lane detection and departure warning

Content Provider	IEEE Xplore Digital Library
Author	Chien Tsung-Yu Chung Sheng-Luen
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan (Chien Tsung-Yu; Chung Sheng-Luen)
Abstract	Lane detection critical to alert driver to avert car departure from driving lanes is an important issue in Intelligent Vehicle Safety System. Traditional lane detection uses straight line detection approaches like Canny and Hough Line Transforms to detect driving lanes, failing to detect curvy lanes. To solve curvy lane detection and to speed up real-time performance, we propose an Android-based solution for lane detection and departure warning. To achieve straight and cure lane detection, we use adaptive threshold algorithm, frequency of lane appearance and mathematical function to design color-based algorithm. With the camera aligned to the direction of car driving, the middle line of the onboard image is used to check lane departure warning. To speed up real-timer performance, image quality is down-sampled before it is split in half for multi-thread processing by the multi-core CPU commonly available on Android platforms. In contrast to traditional approaches, our solution, solving curvy lane detection with a fps performance roughly doubled, shows much improvement to existing lane detection techniques.
Starting Page	174
Ending Page	179
File Size	567002
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896617
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Electrical engineering Driving assistant system Lane Detection Humanoid robots Transforms Vectors Electronic mail Android Intelligent vehicles OpenCV Multi-thread Androids Color-based
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Real-time driving assistant application for Android-based mobile devices

Android OpenCV based effective driver fatigue and distraction monitoring system

Artemisa: An eco-driving assistant for Android Os

A symmetry-based forward vehicle detection and collision warning system on Android smartphone

A Novel Approach to Provide Lane Departure Warning Using Only One Forward-Looking Camera

A DSP based real-time front car detection driving assistant system

A Lane Detection Method for Lane Departure Warning System

On Route Travel Assistant for Public Transport Based on Android Technology

Vision-based lane departure detection system in urban traffic scenes

Android-based driving assistant for lane detection and departure warning

Similar Documents

Real-time driving assistant application for Android-based mobile devices

Android OpenCV based effective driver fatigue and distraction monitoring system

Artemisa: An eco-driving assistant for Android Os

A symmetry-based forward vehicle detection and collision warning system on Android smartphone

A Novel Approach to Provide Lane Departure Warning Using Only One Forward-Looking Camera

A DSP based real-time front car detection driving assistant system

A Lane Detection Method for Lane Departure Warning System

On Route Travel Assistant for Public Transport Based on Android Technology

Vision-based lane departure detection system in urban traffic scenes

Android-based driving assistant for lane detection and departure warning