Image de couverture de Road Terrain Classification Technology for Autonomous Vehicle
Road Terrain Classification Technology for Autonomous Vehicle
Titre:
Road Terrain Classification Technology for Autonomous Vehicle
ISBN (Numéro international normalisé des livres):
9789811361555
Auteur personnel:
Edition:
1st ed. 2019.
PRODUCTION_INFO:
Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Description physique:
XVI, 97 p. 43 illus., 32 illus. in color. online resource.
Collections:
Unmanned System Technologies,
Table des matières:
Introduction -- Review of Related Work -- Acceleration Based Road Terrain Classification -- Image Based Road Terrain Classification -- LRF Based Road Terrain Classification -- Multiple-Sensor Based Road Terrain Classification -- Conclusion and Future Direction.
Extrait:
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. .
Auteur collectif ajouté:
Langue:
Anglais