Dynamic Testing and Calibration of Gaussian Processes for Vehicle Attitude Estimation. Britt, J., Broderick, D. J., Bevly, D. M., & Hung, J. Y. In 2011 10th International Conference on Machine Learning and Applications and Workshops, volume 1, pages 124–128, December, 2011. ![Dynamic Testing and Calibration of Gaussian Processes for Vehicle Attitude Estimation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@inproceedings{britt_dynamic_2011,
title = {Dynamic {Testing} and {Calibration} of {Gaussian} {Processes} for {Vehicle} {Attitude} {Estimation}},
volume = {1},
url = {https://ieeexplore.ieee.org/document/6146955/;jsessionid=1E916697288B99715E42B50B23E2A5E4},
doi = {10.1109/ICMLA.2011.61},
abstract = {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.},
urldate = {2024-06-20},
booktitle = {2011 10th {International} {Conference} on {Machine} {Learning} and {Applications} and {Workshops}},
author = {Britt, Jordan and Broderick, David J. and Bevly, David M. and Hung, John Y.},
month = dec,
year = {2011},
keywords = {Estimation, Gaussian processes, Laser radar, Roads, Testing, Training, Training data, Vehicles, attitude, lidar},
pages = {124--128},
}
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