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SMV - my solution for traffic accidents

Each year, more than 270.000 pedestrians lose their lives on the world’s roads, even though laws exist. SMV(Smart motor vehicle) is a car that has different technologies implemmented to detect crosswalks and pedestrians

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Technologies

The technologies listed below are used by the car in the detection process

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Stereo Vision

Stereo vision is a process of triangulation that determines range from two images taken from two different positions.

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HOG

HOG is a method of encoding and matching image patches under varying image orientation and scale changes.

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AdaBoost Classifier

Classifiers are supervised machine-learning procedures in which input test data are assigned to one of N labels.

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MRF

The MRF technology encodes contextual constrains into the prior probability. MRF modeling can be performed in a systematic way.

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Figure-Ground Segmentation

Uses a graphical model that assigns a label of figure or ground to each element in an image.

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Integral Framework

Algorithms are combined by integral framework, a problem which is frequent false positive errors by the individual algorithms can be solved.

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Radar sensor

There are two primary methods of measuring distance using radar. Direct Propagation Method and Indirect Propagation Method.

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Proximity sensor

They sense when your vehicle gets close to an object to help the driver avoid collisions.

Contact

Contact

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 Address. Gura CaliÈ›ei Road 4-32, Bucharest

Tel. 0726580424

Copyright © 2020 SMV Inc. All rights reserved.

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