| Autor: |
Britt, Jordan, Broderick, David J., Bevly, David M., Hung, John Y. |
| Zdroj: |
2011 10th International Conference on Machine Learning & Applications & Workshops; 2011, p124-128, 5p |
| Abstrakt: |
A method of estimating a vehicle's attitude in relation to the road surface using only light detection and ranging (lidar) measurements is presented. Gaussian processes, a machine learning technique, is used to relate the measurements of the road surface to the pitch and roll of the vehicle. Testing was performed under normal driving conditions on a test track as well as under high dynamic maneuvers on a skid-pad to assess performance of the algorithm. On-vehicle results show that the attitude calculations are capable of being implemented in a real-time system and have been compared against a multi-antenna GPS attitude measurement for accuracy. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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