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Statistical Models of RADAR and LIDAR Returns from Deer for Active Safety Systems
Technical Paper
2016-01-0113
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Based on RADAR and LiDAR measurements of deer with RADAR and LiDAR in the Spring and Fall of 2014 [1], we report the best fit statistical models. The statistical models are each based on time-constrained measurement windows, termed test-points. Details of the collection method were presented at the SAE World Congress in 2015. Evaluation of the fitness of various statistical models to the measured data show that the LiDAR intensity of reflections from deer are best estimated by the extreme value distribution, while the RCS is best estimated by the log-normal distribution. The value of the normalized intensity of the LiDAR ranges from 0.3 to 1.0, with an expected value near 0.7. The radar cross-section (RCS) varies from -40 to +10 dBsm, with an expected value near -14 dBsm.
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Citation
Buller, W., Sherony, R., Wilson, B., and Wienert, M., "Statistical Models of RADAR and LIDAR Returns from Deer for Active Safety Systems," SAE Technical Paper 2016-01-0113, 2016, https://doi.org/10.4271/2016-01-0113.Also In
References
- Buller , W. , Sherony , R. , Wilson , B. , and Wienert , M. Measurements of Deer with RADAR and LIDAR for Active Safety Systems SAE Technical Paper 2015-01-0217 2015 10.4271/2015-01-0217
- Knott E.F. RADAR Cross Section Measurements SciTech Publishing Inc. 2006
- Kovalev V.A. , Eichinger W.E. Elastic Lidar: Theory, Practice, and Analysis Methods John Wiley & Sons, Inc. 2004
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- York , Michelle Nurtured at Army Depot, Rare Deer Herd Is Suggested As a Key to Tract's Future New York City The New York Times March 21 2004
- Saunders , D. A. 1988 Adirondack Mammals State University of New York (SUNY), College of Environmental Science and Forestry 216