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

By:

Moosmann, Frank [auth]

Material type: Article

ArticleLanguage: English Publication details: KIT Scientific Publishing 2013Description: 1 electronic resource (XVIII, 128 p. p.)ISBN:

KSP/1000032359
9783866449770

Subject(s):

Online resources:

Summary: 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.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

Open Access star Unrestricted online access

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.

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/

English

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