Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
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, object...
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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
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KIT Scientific Publishing
2013
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| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 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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| Physical Description: | 1 electronic resource (XVIII, 128 p. p.) |
| ISBN: | KSP/1000032359 9783866449770 |
| Access: | Open Access |