Title :
SmartLDWS: A robust and scalable lane departure warning system for the smartphones
Author :
Lan, Mars ; Rofouei, Mahsan ; Soatto, Stefano ; Sarrafzadeh, Majid
Author_Institution :
Dept. of Comput. Sci., Univ. of California, Los Angeles, CA, USA
Abstract :
Lane departure warning Systems (LDWS) have recently become an integral part of many advance vision-based drive assistance systems. However, high cost and the requirement of professional installation have limited such systems to mostly commercial or luxury vehicles. To help bring the technology to the mainstream market, we have leveraged the popularity of smart phones and built SmartLDWS, the first LDWS that runs on these devices. SmartLDWS employs a novel lane detection algorithm that is both robust and scalable to overcome poor camera quality and limited processing power faced by most smart phones. Experimental results show that the system performs reliably with extremely low false-positive under different weather and lighting conditions, detecting various types of lane markings at over 30 fps.
Keywords :
alarm systems; computer vision; mobile handsets; object detection; traffic engineering computing; advance vision-based drive assistance system; camera quality; computer vision; intelligent transportation systems; lane detection algorithm; luxury vehicles; scalable lane departure warning system; smart phones; smartLDWS; Alarm systems; Computer vision; Costs; Detection algorithms; Face detection; Intelligent transportation systems; Robustness; Smart cameras; Smart phones; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-5519-5
Electronic_ISBN :
978-1-4244-5520-1
DOI :
10.1109/ITSC.2009.5309685