Automatic Vehicle Detection and Distance Estimation on an Embedded Platform
Date Issued
2006
Date
2006
Author(s)
Lin, Chen-Min
DOI
en-US
Abstract
Embedded platform is popularly used for its low cost and low power characteristics. Using a familiar x86 platform can shorten the software development schedule. But, the system power consumption is very high and the size too large for most of the x86 systems using an Intel x86 CPU. The platform presented in this Thesis adopts a 800MHz VIA C3 CPU and the system board size is 12cm×12cm. Its
low power consumption and very small size make it a good platform for embedded system applications.
The proposed embedded platform uses a CMOS sensor to capture the image of a vehicle in front, and transfers it through a USB interface to a vehicle filter application
in the embedded platform. After the vehicle filter application transforms this color image to a gray scale image, from which an Absolute Difference Mask (ADM)
algorithm [1] is used to extract the image edges for detecting the road lane and vehicle information. For the lane detection, we use a TFALDA algorithm [4]. As to
the vehicle detection, we use the vehicle symmetric features to search the existence of a vehicle. When the lane and vehicle information are found, we can use the lane
width measured from the vehicle to compute the distance of a front vehicle. For the application side, this platform can be used as a vehicle automatic breaking system, or
as a secure-distance keeping or warning system.
Subjects
車輛偵測
車道偵測
距離估算
Vehicle detection
Lane detection
Distance estimation
Type
thesis
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