Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors

Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
Author: Frank Moosmann
Publisher: KIT Scientific Publishing
Total Pages: 154
Release: 2014-05-13
Genre: Computers
ISBN: 3866449771


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This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.


Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
Language: en
Pages: 154
Authors: Frank Moosmann
Categories: Computers
Type: BOOK - Published: 2014-05-13 - Publisher: KIT Scientific Publishing

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This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The
Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
Language: en
Pages: 0
Authors: Frank Moosmann
Categories:
Type: BOOK - Published: 2013 - Publisher:

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This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The
Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing
Language: en
Pages: 166
Authors: Knorr, Moritz
Categories: Calibration
Type: BOOK - Published: 2018-12-19 - Publisher: KIT Scientific Publishing

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Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Language: en
Pages: 196
Authors: Rabe, Johannes
Categories: Augmented reality
Type: BOOK - Published: 2019-01-10 - Publisher: KIT Scientific Publishing

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This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS
Mapping and Localization in Urban Environments Using Cameras
Language: en
Pages: 146
Authors: Henning Lategahn
Categories: Computers
Type: BOOK - Published: 2014 - Publisher: KIT Scientific Publishing

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In this work we present a system to fully automatically create a highly accurate visual feature map from image data acquired from within a moving vehicle. Moreo