A Vehicle Detection Method Based on Convolutional Neural Network Optimized by Genetic Algorithm

This manuscript introduces an advanced vehicle target detection algorithm which leverages the integration of improved underside shadow characteristics with a Convolutional Neural Network (CNN) optimized by genetic algorithms. Our approach augments underside shadow delineation through difference enha...

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Veröffentlicht in:	International Conference on Intelligent Control and Information Processing (Online) S. 227 - 233
1. Verfasser:	Sun, Qingqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.03.2024
Schlagworte:	Convolutional neural networks Feature extraction Genetic Algorithm Hypothetical Vehicle Interference Lighting Object detection Roads Support Vector Machine Vehicle detection
ISSN:	2835-9577
Online-Zugang:	Volltext
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