Labelling Road Scenes Using Machine Learning and Stereo Vision

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2015, 2015

3659572004 / 9783659572005

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This item is printed on demand - Print on Demand Titel. Neuware -Vehicles capable of sensing their surroundings are not only of interest to car manufactures for safety systems, but the underlying systems are also applicable to autonomous space exploration, military applications e.g. the DARPA challenge and fully autonomous passenger cars. The ability to autonomously detect and avoid pedestrians, for example, would be the next step in the suite of existing vision based driver assistance technologies such as road sign detection and lane departure warning systems. The main goal of this work is to explore all the tasks involved in the processing of raw sensor data into scene description which is meaningful to a computer. This starts with the selection, con figuration and evaluation of current vehicle sensors. Then the processing and identification of the collected data. The project will evaluate a range of currently used techniques in the field of image processing and classification. In areas where information is currently lacking, such as a comparison between classification techniques, further investigation is carried out. Where current techniques do not provide results ideal for this application, improvements have been suggested.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 296 pp. Englisch.

Seller Inventory # 9783659572005

Title
Labelling Road Scenes Using Machine Learning and Stereo Vision
Author
Thomas Osgood
Publisher
LAP LAMBERT Academic Publishing Okt 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659572004
ISBN 13
9783659572005
Item weight
459 grams
Dimensions
220x150x19 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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