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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.
Umfang: XVIII, 128 S.
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Moosmann, F. 2013. Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000032359
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Veröffentlicht am 2. April 2013
Englisch
151
| Paperback | 978-3-86644-977-0 |