| 000 | 01667naaaa2200301uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/50498 | ||
| 005 | 20220219224433.0 | ||
| 020 | _aKSP/1000032359 | ||
| 020 | _a9783866449770 | ||
| 024 | 7 |
_a10.5445/KSP/1000032359 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aMoosmann, Frank _4auth |
|
| 245 | 1 | 0 | _aInterlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors |
| 260 |
_bKIT Scientific Publishing _c2013 |
||
| 300 | _a1 electronic resource (XVIII, 128 p. p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThis 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _amapping | ||
| 653 | _aself-localization | ||
| 653 | _aobject detection | ||
| 653 | _alaser scanner | ||
| 653 | _atracking | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.ksp.kit.edu/9783866449770 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/50498 _70 _zDOAB: description of the publication |
| 999 |
_c48795 _d48795 |
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