Recognition of road scene elements using deep neural networks: Monograph

Yudin, Dmitry

ISBN 10: 6139886864 / ISBN 13: 9786139886869

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

96 pages. 8.66x5.91x0.22 inches. In Stock.

Seller Inventory # zk6139886864

Bibliographic Details

• Title: Recognition of road scene elements using deep neural networks: Monograph
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6139886864
• ISBN 13: 9786139886869
• Binding: Paperback
• Condition: Brand New
• Weight: 0.19 kilograms

About this title

Synopsis

The monograph presents modern approaches to the analysis of the road environment images based on deep learning. The neural network architectures for solving problems of classification, segmentation of images, detection of objects on them are considered. Author analyzes in detail the deep neural network architectures for the detection of the road scene elements (vehicles, traffic lights) on the images from the on-board video camera. A solution is proposed for calculation of founded vehicle position. The approach to the use of convolutional neural networks of different architectures has been analyzed to detect the visibility loss of a video camera on the basis of recognition of images obtained from it. Author describes tools for creating datasets in the traffic scene recognition tasks. Author also presents examples of software and hardware implementation for these architectures using a graphics processor and NVidia CUDA technology. The publication is intended for scientists and engineers engaged in the development of machine vision systems using deep convolutional neural networks and may be useful for lecturers, students and postgraduates of relevant university specialties.