Proceedings ArticleDOI
SmartLDWS: A robust and scalable lane departure warning system for the smartphones
Mars Lan,Mahsan Rofouei,Stefano Soatto,Majid Sarrafzadeh +3 more
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TLDR
SmartLDWS is built, the first LDWS that runs on smartphones and employs a novel lane detection algorithm that is both robust and scalable to overcome poor camera quality and limited processing power faced by most smartphones.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 smartphones 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 smartphones. 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 30fps.read more
Citations
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Journal ArticleDOI
A review of recent advances in lane detection and departure warning system
TL;DR: An overview of current LDW system is provided, describing in particular pre-processing, lane models, lane de Ntection techniques and departure warning system.
Proceedings ArticleDOI
DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors
TL;DR: DriveSafe is the first app for smartphones based on inbuilt sensors able to detect inattentive behaviors evaluating the quality of the driving at the same time and represents a new disruptive technology because it provides similar ADAS features that found in luxury cars.
Journal ArticleDOI
Survey of smartphone-based sensing in vehicles for intelligent transportation system applications
TL;DR: In this study, existing approaches of using smartphones for ITS applications are analysed and compared, and particular focus is placed on vehicle-based monitoring systems, such as driving behaviour and style recognition, accident detection and road condition monitoring systems.
Proceedings ArticleDOI
Driving coach: A smartphone application to evaluate driving efficient patterns
TL;DR: A new smartphone application is presented that will help drivers reduce the fuel consumption of their vehicles by using the smartphone's sensors and the vehicle state to detect the driving pattern and suggest new behaviours in real time that will lead to a more efficient driving experience.
Journal ArticleDOI
Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification
Yang Zheng,John H. L. Hansen +1 more
TL;DR: This study addresses the lane-change detection problem by using vehicle dynamic signals extracted from the CAN-bus, which is collected with 58 drivers around Dallas, TX area, to propose a machine learning-based segmentation and classification algorithm.
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