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Blind Spot Warning Using Deep Learning.pdf

Blind-Spot-Warning-Using-Deep-Learning.pdf
Preview of Blind Spot Warning Using Deep Learning
🔗 Source: cerv.aut.ac.nz
📊 Size: 5.5 MB
📄 Pages: 60 pages
⬇️ Downloads: 140

Summary

The system aims to reduce traffic accidents by monitoring and detecting moving objects in blind spots. The report describes the importance of blind spot detection, its technical background, and the use of histogram, SIFT, and HMM algorithms to calculate accident probabilities. It also employs RNN as a deep learning model to predict cars turning up in blind spots. The report explores the limitations of this technology and suggests future work. Keywords: Blind spot detection system, intelligent surveillance systems, cameras, car accidents, histogram, SIFT, HMM, and RNN.

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Description

The system aims to reduce traffic accidents by monitoring and detecting moving objects in blind spots.

Technical Information

  • File Format: PDF
  • File Size: 5.5 MB
  • Pages: 60
  • Language: EN
  • Total Downloads: 140
  • Last Updated: 1 week ago

Document Overview

This PDF document about Blind Spot Warning Using Deep Learning provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Blind Spot Warning Using Deep Learning.

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