高速公路車輛偏移車道及前車追撞警示系統

Lane Departure and Forward Collision Warning Systems for Vehicle on Highways

涂家盛(Chia-Sheng Tu)

指導教授 ： 王仲淳

元智大學/電機通訊學院/電機工程學系/碩士(2009年)

https://doi.org/10.6838/YZU.2009.00237

摘要

本文描述如何利用電腦視覺及影像處理的技術來偵測高速公路的車道線及前方車輛。主要藉由架設在車內的攝影機，拍攝車輛行進間的道路影像，加以分析、處理後，提供駕駛人所需的路況資訊，以提升行車安全。
文中使用單一影像擷取設備取得車輛前方影像，透過最大亮度梯度變化偵測可能的車道線，再利用最小平方差法來描繪出車道線，依左右標線建立兩直線方程式，可迅速判斷車輛是否偏離道路。
而前方車輛偵測的演算法則是萃取出車輛紅色的車後燈，利用影像中前方車輛後車燈之間距與前車距離的關係，判斷是否與前車過於貼近。

關鍵字

車道偵測 ； 車輛偵測 ； 高速公路

並列摘要

This thesis presents the techniques of computer vision and image processing used for the detection of highway lanes and vehicles. This system acquires the road scene images from a forward-looking vehicle-mounted camera. After processing and analyzing these images, the system offers the information that the driver needs to improve the traffic safety.

It displays lane edge trace to extracting road edge and lane information for smart intelligent navigation of vehicles. Using two linear functions, we describe left and right lane lines, and then apply the least-square-error method to filter these edge-point segments to approximate the lane boundary. Through the use of the two linear functions, we can determine road front width whether there is any lane departure.

On the other hand, after filtering the detection of front vehicle taillights, we determine whether the car is too close to the front vehicles by the relationship between the width of front vehicle taillight pairs and the distance from front vehicles.

並列關鍵字

Lane detection ； Vehicle detection ； Highway

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