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 |
|---|---|
| : | |
| 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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| 100 | 1 | |a Moosmann, Frank |4 auth | |
| 245 | 1 | 0 | |a Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors |
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| 520 | |a 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. | ||
| 546 | |a English | ||
| 653 | |a mapping | ||
| 653 | |a self-localization | ||
| 653 | |a object detection | ||
| 653 | |a laser scanner | ||
| 653 | |a tracking | ||
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