Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors

This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, object...

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Detalles Bibliográficos
Otros Autores: Moosmann, Frank (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: KIT Scientific Publishing 2013
Colección:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009427390306719
Descripción
Sumario:This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.
Descripción Física:1 electronic resource (XVIII, 128 p. p.)