Estimating Object Perception Performance in Aerial Imagery Using a Bayesian Approach-Reference-Cited by-同舟云学术

Estimating Object Perception Performance in Aerial Imagery Using a Bayesian Approach

Published:2023-03-04 Issue: Volume: Page:
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Container-title:2023 IEEE Aerospace Conference
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Author:

Koch Simon¹,Ostler Johannes¹,Stütz Peter¹

Affiliation:

1. Institute of Flight Systems, Universität der Bundeswehr München,Neubiberg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115828.pdf?arnumber=10115828

Reference16 articles.

1. Scikit-learn: Machine Learning in Python;pedregosa;Machine Learning in Python,0

2. The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking;du;Proceedings of the European Conference on Computer Vision (ECCV),0

3. A tutorial on the EM algorithm for Bayesian networks: Application to self-diagnosis of GPON-FTTH networks;mouafo;IWCMC 2016 12th International Wireless Communications & Mobile Computing Conference,2016

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