Pastāsti draugiem par šo preci:
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building - Springer Tracts in Advanced Robotics Juan Andrade Cetto 2006 edition
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building - Springer Tracts in Advanced Robotics
Juan Andrade Cetto
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.
156 pages, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2006. gada 22. maijs |
| ISBN13 | 9783540327950 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 136 |
| Izmēri | 155 × 235 × 11 mm · 399 g |
| Valoda | Angļu |