Sentence examples for vehicle recognition from inspiring English sources

The Dispatches investigation also found that the total number of parking tickets issued to motorists in the UK by private companies has increased fivefold in the past five years, helped by  with the introduction of vehicle recognition cameras.

As a result, the vehicle recognition, classification and change detection accuracies are 95.9%, 86.0% and 98.7%, respectively.

There are similarities between the problem of face detection and vehicle recognition especially in the typical size of an image sample under consideration.

The area contained by the limits of the lanes is scanned in order to find vehicle candidates that are passed on to the vehicle recognition modules.

The layers of the proposed architecture of the three vision modules are conceptually the same: lane detection, vehicle candidates selection, vehicle recognition, and tracking.

In this paper, we design a complete system for car park monitoring, including vehicle recognition, localization, classification and change detection, from laser scanning point clouds.

Together with the geometric features, they are applied to a supervised learning procedure for vehicle or non-vehicle recognition.

Automatic vehicle identification (AVI), License Plate Recognition Systems, Signature Matching Systems, Platoon Identification Systems, Global Positioning Systems (GPS), mobile phones, and Bluetooth are some common examples of devices that can be used as spatial sensors for travel stream analyses.

With the purpose to improve the real-time performance and accuracy of vehicle type recognition in complex traffic scenes, this paper proposed an information fusion based vehicle type recognition method.

Due to the Christmas holiday Cargiant said that a manager would not be available for three more days but, in the meantime, the company would pay any penalties I might receive by entering car parks that have vehicle registration recognition.

Then, the vehicle type recognition method for the proposed multiple sensor network is applied.