Computer Vision in Vehicle Technology Land Sea and Air at Meripustak

Computer Vision in Vehicle Technology Land Sea and Air

Books from same Author: Lopez

Books from same Publisher: John Wiley

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  • General Information  
    Author(s)Lopez
    PublisherJohn Wiley
    Edition1st Edition
    ISBN9781118868072
    Pages216
    BindingHardcover
    LanguageEnglish
    Publish YearApril 2017

    Description

    John Wiley Computer Vision in Vehicle Technology Land Sea and Air by Lopez

    A unified view of the use of computer vision technology for different types of vehiclesComputer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment).The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed.Key features:Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem.Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view.Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies.This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.