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What is Multi-Traffic Scene Perception Study about?

This document describes a proposed system for multi-traffic scene perception based on supervised machine learning. It aims to classify different weather conditions from images to help driver assistance systems. The system would extract global features from images and use a support vector machine algorithm for classification. It is intended to improve detection of vehicles at night and enhance visibility in foggy conditions. The document outlines the existing problems, proposed solution, algorithms, design,

Author

Lakshmi Avadhanula

Language

EN