Könyv Recognising, Representing and Mapping in Field Robotics Fabio Ramos

Recognising, Representing and Mapping in Field Robotics

A Statistical View to Perception in Unstructured Environments

Szerző: Fabio Ramos
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
27 379 Ft
The problem of building statistical models for§multi-sensor §perception in unstructured outdoor envi...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2009
oldal
212
EAN
9783639137590
Enbook ID
06822420
Súly
332
Méretek
150 x 220 x 13

Teljes leírás

The problem of building statistical models for§multi-sensor §perception in unstructured outdoor environments is§addressed in §this book. The perception problem is divided into§three distinct §tasks: recognition, representation and association.§Recognition is §cast as a statistical classification problem where§inputs are images §or a combination of images and ranging information.§Given the §complexity and variability of natural environments,§the use of §Bayesian statistics and supervised dimensionality§reduction to §incorporate prior information and to fuse sensory§data are §investigated. This book presents techniques for§combining non-§linear dimensionality reduction with parametric§learning through §Expectation Maximisation to build general and compact §representations of natural features. The robustness§of localisation §and mapping algorithms is directly related to§reliable data §association. A new data association algorithm§incorporating visual §and geometric information is proposed to improve the§reliability of §this task. The method uses a compact probabilistic§representation of §objects to fuse visual and geometric information for§the association §decision.

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