Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

Language: English

Published by Universitätsverlag Ilmenau, 2023

3863602722 / 9783863602727

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous self-driving cars need a very precise perception system of their environment, working for every conceivable scenario. Therefore, different kinds of sensor types, such as lidar scanners, are in use. This thesis contributes highly efficient algorithms for 3D object recognition to the scientific community. It provides a Deep Neural Network with specific layers and a novel loss to safely localize and estimate the orientation of objects from point clouds originating from lidar sensors. First, a single-shot 3D object detector is developed that outputs dense predictions in only one forward pass. Next, this detector is refined by fusing complementary semantic features from cameras and joint probabilistic tracking to stabilize predictions and filter outliers. The last part presents an evaluation of data from automotive-grade lidar scanners. A Generative Adversarial Network is also being developed as an alternative for target-specific artificial data generation.

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Bibliographic details

Title
Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning
Author
Martin Simon
Publisher
Universitätsverlag Ilmenau
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3863602722
ISBN 13
9783863602727
Item weight
336 grams
Dimensions
240x170x11 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 70.61US$ 82.06
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