Name
Abstract | ||
|---|---|---|
This paper presents an approach for localization using geometric features from a 360° laser range finder and a monocular vision system. Its practicability under conditions of continuous localization during motion in real time (referred to as on-the-fly localization) is investigated in large-scale experiments. The features are infinite horizontal lines for the laser and vertical lines for the camera. They are extracted using physically well-grounded models for all sensors and passed to a Kalman filter for fusion and position estimation. Positioning accuracy close to subcentimeter has been achieved with an environment model requiring 30bytes/m2. Already with a moderate number of matched features, the vision information was found to further increase this precision, particularly in the orientation. The results were obtained with a fully self-contained system where extensive tests with an overall length of more than 6.4km and 150,000 localization cycles have been conducted. The final testbed for this localization system was the Computer 2000 event, an annual computer tradeshow in Lausanne, Switzerland, where during 4 days visitors could give high-level navigation commands to the robot via a web interface. This gave us the opportunity to obtain results on long-term reliability and verify the practicability of the approach under application-like conditions. Furthermore, general aspects and limitations of multisensor on-the-fly localization are discussed. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0921-8890(00)00117-2 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Mobile robot localization,On-the-fly localization,Position tracking,Multisensor data fusion,Kalman filtering | Monocular vision,Computer vision,Byte,Computer science,Simulation,On the fly,Testbed,Kalman filter,Artificial intelligence,Localization system,Robot,User interface | Journal |
Volume | Issue | ISSN |
34 | 2 | 0921-8890 |
Citations | PageRank | References |
49 | 5.29 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai O. Arras | 1 | 998 | 81.80 |
| Nicola Tomatis | 2 | 699 | 51.47 |
| Björn Jensen | 3 | 223 | 23.45 |
| Roland Siegwart | 4 | 7640 | 551.49 |