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Environmental Perception for Automated Vehicles

Impresion
EUR 49,70

E-Book
EUR 34,79

Environmental Perception for Automated Vehicles (Tienda española)

Localization, Mapping and Tracking

Jae Bum Choi (Autor)

Previo

Indice, PDF (29 KB)
Lectura de prueba, PDF (280 KB)

ISBN-13 (Impresion) 9783736992665
ISBN-13 (E-Book) 9783736982666
Idioma Inglés
Numero de paginas 200
Laminacion de la cubierta mate
Edicion 1. Aufl.
Lugar de publicacion Göttingen
Lugar de la disertacion Braunschweig
Fecha de publicacion 26.05.2016
Clasificacion simple Tesis doctoral
Area Letra
Palabras claves Simultaneous localization ans mapping (SLAM), Rao-Blackwellized particle filters (RBPFs), detection and tracking of moving objects (DATMO), model-based tracking, fuzzy interacting multiple model (FIMM)
Descripcion

This thesis addresses the issues of the environmental perception for automated vehicles. The environment which the vehicle has to perceive can be generally classified into two groups: stationary and movable objects. The perception is to represent and understand these environments by organizing, identifying, and interpreting sensory information. Firstly, the sensory information is obtained based on the vehicle pose (position and orientation), and therefore the environmental perception necessarily includes a localization task. Then, the stationary objects are generally represented with a map, and the movable objects are tracked to represent their temporal behaviors. These environmental perception tasks can be summarized into two well known technical problems: simultaneous localization and mapping (SLAM), and detection and tracking of movable objects (DATMO). In this thesis, a novel framework to solve these problems by using Velodyne laser scanner is presented.