Computer Vision-Based Traffic Identification Technologies for On-board Driving Assistance and Traffic Monitoring
Date Issued
2004
Date
2004
Author(s)
Wu, Yao-Jan
DOI
en-US
Abstract
This study presents a conceptual architecture of computer vision based highway safety architecture that consists of three parts: Computer Vision-based Driver Assistance System (CVDAS), Computer Vision-based Traffic Monitoring System (CVTMS) and road users. In this study, CVTMS and CVDAS are developed and validated, respectively.
The CVDAS developed in this study is mainly to identify the driving environment for autonomous highway vehicles by employing image processing and computer vision techniques. The proposed approach is composed of two consecutive computational steps. The first step is the lane markings detection, used to identify the location of the equipped vehicle and road geometry. The driving trajectory of the equipped vehicle is estimated by a filter. The second step is the multiple vehicle detection that can provide relative position and speed between the equipped vehicle and its preceding vehicle. The experimental results revealed that the success rate of vehicle detection is higher than 97%.
The CVTMS developed in this study is mainly composed of five stages: (1) pre-processing, (2) foreground segmentation, (3) shadow removal, (4) tracking and (5) traffic parameters extraction. The pre-processing is developed to obtain the information of road geometry and calibrate the camera. After the preprocessing is done, the foreground segmentation and shadow removal continue to segment the moving vehicles from the input images. To make the system more robust, a filter is used in the multi-vehicle tracking. Subsequently, the traffic parameters are extracted at the end of each tracking. According to the results, the average success rate of vehicle counting is higher than 96 %. Moreover, it shows that this system is capable of successfully extracting the traffic parameters, including trajectory of the moving vehicle based on the image sequences captured by a CCD (Charge Couple Device) camera.
Subjects
交通監控系統
電腦視覺
行車駕駛輔助系統
車輛偵測
車道線偵測
Traffic Monitoring System
Computer Vision
Driver Assistance System
Lane Markings Detection
Vehicle Detection
Type
thesis
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