Browsing by Author "Faizan, Muhammad"

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    Development and Demonstration of a Cost-Effective In-Vehicle Lane Departure and Advanced Curve Speed Warning System
    (Minnesota Department of Transportation, 2018-12) Faizan, Muhammad; Hussain, Shah; Hayee, M. I.
    A Lane-Departure Warning System (LDWS) and Advance Curve -Warning System (ACWS) are critical among several Advanced Driver- Assistance Systems (ADAS) functions, having significant potential to reduce crashes. Generally, LDWS us e different image processing or optical s canning techniques to detect a lane departure. Such LDWS have some limitations such as harsh weather or irregular la ne markings can influence their performance. Other LDWS use a GPS receiver with access to digital maps with lane-level resolution to improve the system's efficiency but make the overall system more complex and expensive. In this report, a lane-departure detection method is proposed, which uses a standard GPS receiver to determine the lateral shift of a vehicle by comparing a vehicle’s trajectory to a reference road direction without the need of any digital maps with lane-level resolution. This method only needs road-level information from a standard digital mapping database. Furthermore, the system estimates the road curvature and provides advisory speed for a given curve simultaneously. The field test results show that the proposed system can detect a true lane departure with an accuracy of almost 100%. Although no true lane departure was left undetected, occasional false lane departures were detected about 10% of the time when the vehicle did not actually depart its lane. Furthermore, system always issues the curve warning with an advisory speed at a safe distance well ahead of time.
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    Development and Demonstration of a In-Vehicle Lane Departure and Advanced Curve Speed Warning System
    (2018-03) Faizan, Muhammad
    A lane departure warning system (LDWS) and advance curve warning system (ACWS) are critical elements among several Advanced Driver-Assistance Systems (ADAS) functions, which has significant potential to reduce crashes. Generally, LDWS use different image processing or optical scanning techniques to detect a lane departure. In case of LDWS, these systems have some limitations such as harsh weather or irregular lane markings can influence their performance. Other LDWS use GPS receiver with access to lane-level resolution digital maps to system's efficiency but make the overall system more complex and expensive. On the other hand, ADWS use road-level information which includes road curvature, speed-limit, position. etc. of a given curve. In this report, a lane detection method is proposed which uses a standard GPS receiver to determines the lateral shift of a vehicle by comparing a vehicle’s trajectory to the reference road direction without any lane-level but a road-level information from a standard digital mapping database. Furthermore, system estimates the road curvature and provides advisory speed-limit of a given curve simultaneously. The field test results show that the proposed system can detect a true lane departure with an accuracy of almost 100%. Although no true lane departure was left undetected, occasional false lane departures were detected about 10% of the time when the vehicle did not actually depart its lane. Furthermore, system always issue the curve warning about an advisory speed limit well ahead of time at a safe distance.