Road Terrain Classification Technology by Wang Shifeng (22 results)

Language: English
Published by Springer, 2019
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Language: English
Published by Springer, 2019
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Language: English
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2019
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.…

Language: English
Published by Springer, 2019
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.…

Language: English
Published by Springer Nature, 2020
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Published by Springer, 2019
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Published by Springer, 2020
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Taschenbuch. Condition: Neu. Road Terrain Classification Technology for Autonomous Vehicle | Shifeng Wang | Taschenbuch | Unmanned System Technologies | xvi | Englisch | 2020 | Springer | EAN 9789811361579 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Language: English
Published by Springer, 2020
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Language: English
Published by Springer Nature Singapore Aug 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. 116 pp. Englisch.…

Language: English
Published by Springer Nature Singapore Mrz 2019, 2019
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. 116 pp. Englisch.…

Language: English
Published by Springer Singapore, 2019
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively discusses various accelerometers, cameras, sensors, and LRFs for autonomous vehicles Provides an extensive review of road terrain classification by applying the MRF multiple-sensor fusion method&.…

Language: English
Published by Springer, 2020
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Language: English
Published by Springer, Springer Aug 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.…

Language: English
Published by Springer, Springer Mär 2019, 2019
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch. …

Language: English
Published by Springer, 2020
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