This paper focuses on the potential of using airborne laser scanning technology for transportation applications, especially for identifying moving objects on roads. An adaptive thresholding algorithm is used to segment the LiDAR point cloud, which is followed by a selection process to extract the vehicles. The LiDAR data are capable of measuring the vertical profile of a vehicle, and hence prov...

Vehicle model recognition from images is one of challenging fields for supporting intelligence transport system. Existing methods only deal with vehicle in fixed view. However, in video, rotation is occurred and it decreases performance of recognition. To overcome this problem, rectification method about skew though rotated view is needed. We employ the robust license plate detection method usi...

Our memory for common, easily recognizable logos, like the Apple logo, is surprisingly poor because of attentional saturation, where we stop attending to details frequently encountered objects. This lack attention may leave us susceptible misinformation effects. Across four experiments, tested recognition logo after incidentally encoding an accurate or altered version (Experiments 1–3), no inci...

In the paper we address the applied problem of detecting and recognizing street name plates in urban images by a generic approach to structural object detection and recognition. A structured object is detected using a boosting approach and false positives are filtered using a specific method called the texture transform. In a second step the subregion containing the key information, here the te...

Road region recognition is a main feature that is gaining increasing attention from intellectuals because it helps autonomous vehicle to achieve a successful navigation without accident. However, different techniques based on camera sensor have been used by various researchers and outstanding results have been achieved. Despite their success, environmental noise like shadow leads to inaccurate ...

Vehicle license plate recognition is an image-processing technology used to identify vehicles by their license plates. This technology can be used in various security and traffic applications, such as finding stolen cars, controlling access to car parks and gathering traffic flow statistics. In this paper an approach to license plate localization and recognition is presented. A proposed method ...

__________________________________________________________________________ Existing vehicle license plate identification and recognition systems are potent for either their accuracy or speed but not a combination of both. The algorithm proposed in this dissertation attempts to achieve this fine balance between the accuracy and speed that such a system must posses. The mathematical morphology op...

In this contribution we describe a neural approach to classify vehicles based on sound emitted by them. Engines and the carriageable devices are the sources of signal. The used methodology doesn't require the detailed analysis which part of object is responsible for the components of signal. The sound is preprocessed using wavelet method to obtain feature vectors to be used by a neural classifi...