Person tracking and following by a mobile robotic platform
- Robots integrated into a social environment with humans need the ability to locate persons in their surrounding area. This is also the case for the WelcomeBot which is developed at the Fraunhofer Institute IAIS. In the future, the robot should follow persons in the buildings and guide them to certain areas. Therefore, it needs the capability to detect and track a person in the environment. In this master thesis, an approach for fast and reliable tracking of a person via a mobile robotic platform is presented. Based on the investigation of different methods and sensors, a laser scanner and a camera are selected as the primary two sensors.
| Document Type: | Bachelor Thesis |
|---|---|
| Language: | English |
| Author: | Christoph Brauers |
| Number of pages: | viii, 67 |
| URL: | https://nbn-resolving.org/urn:nbn:de:0011-n-1415751 |
| DOI: | https://doi.org/10.24406/publica-fhg-278604 |
| Referee: | Gerhard Kraetzschmar, Hartmut Surmann |
| Publisher: | Fraunhofer Publica |
| Granting Institution: | Hochschule Bonn-Rhein-Sieg, Fachbereich Informatik |
| Contributing Corporation: | Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme |
| Date of first publication: | 2010/10/05 |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Theses, student research papers: | Hochschule Bonn-Rhein-Sieg / Fachbereich Informatik |
| Entry in this database: | 2015/04/02 |
