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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Superior document: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie |
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Year of Publication: | 2013 |
Language: | English |
Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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Physical Description: | 1 electronic resource (XVIII, 128 p. p.) |
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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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ISBN: | 1000032359 |
Hierarchical level: | Monograph |