Paper
27 December 1995 Advanced laser-based tracking device for motor vehicle lane position monitoring and steering assistance
William D. Bachalo, Andrew Inenaga, Carlos A. Schuler
Author Affiliations +
Abstract
Aerometrics is developing an innovative laser-diode based device that provides a warning signal when a motor-vehicle deviates from the center of the lane. The device is based on a sensor that scans the roadway on either side of the vehicle and determines the lateral position relative to the existing painted lines marking the lane. No additional markings are required. A warning is used to alert the driver of excessive weaving or unanticipated departure from the center of the lane. The laser beams are at invisible wavelengths to that operation of the device does not pose a distraction to the driver or other motorists: When appropriate markers are not present on the road, the device is capable of detecting this condition and warn the driver. The sensor system is expected to work well irrespective of ambient light levels, fog and rain. This sensor has enormous commercial potential. It could be marketed as an instrument to warn drivers that they are weaving, used as a research tool to monitor driving patterns, be required equipment for those previously convicted of driving under the influence, or used as a backup sensor for vehicle lateral position control. It can also be used in storage plants to guide robotic delivery vehicles. In this paper, the principles of operation of the sensor, and the results of Aerometrics ongoing testing will be presented.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William D. Bachalo, Andrew Inenaga, and Carlos A. Schuler "Advanced laser-based tracking device for motor vehicle lane position monitoring and steering assistance", Proc. SPIE 2592, Collision Avoidance and Automated Traffic Management Sensors, (27 December 1995); https://doi.org/10.1117/12.228910
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Signal processing

Roads

Glasses

Fourier transforms

Mirrors

Signal detection

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