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Position estimation of mobile laser scanner using aerial imagery

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Mobile laser scanning is a techniques to obtain geo-information for large areas using laser scanners mounted on a car or another vehicle. The obtained product is called a mobile laser scanning point cloud. Under normal conditions, accurate positioning is provided by the integration of Global Navigation Satellite Systems (GNSS) and inertial Navigation Systems (INS). However, especially in urban areas building structures impede a direct line-of -sight to navigation satellites and lead to multipath effects. In this situation the mobile mapping derived products, such as mobile laser scanning point clouds, lack the expected reliability and inherit an unknow positioning error.
This issue has been addressed by many research, whose aim to mitigate these effects mainly concentrates on utilizing datasets, such as digital maps, orthoimages or airbone lidar. These datasets serve as a reliable source of orientetation and are being used subsidiarrly or as thr basis for adjusment.
This reseacrh aims to improve the position estimation of mobile laser scanning platforms by employing high-resolutiona multiview nadir aerial imagery as a reference dataset. The aerial images have highly accurate exterior orientations as their positioning is not suffering from the GNSS signal occlusion and estimated by aerial triangulaton as well. The highly accurate positioned images can therefore provide precise locations of festure, These features can be measured in the mobile laser scanning data as well

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Availability

B20210419012

DS 526.982 SYE p

Perpustakaan BIG (500)

Available

Detail Information

Series Title

-

Call Number

DS 526.982 SYE p

Publisher

Netherland : University of Twente., 2020

Collation

x, 189 hlm. : illus. : 24 cm

Language

Inggris

ISBN/ISSN

978-90-365-4935--6

Classification

526.982

Content Type

text

Media Type

other

Carrier Type

unspecified

Edition

-

Subject(s)

Fotogrametri

Specific Detail Info

-

Statement of Responsibility

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Other version/related

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