Odor Source Localization with Evidence Theory in Outdoor Environments via an UAV Equipped with a TDLAS
Author:
Affiliation:
1. Tianjin Key Laboratory of Information Sensing and Intelligent Control,Tianjin,China
2. School of Information and Electrical Engineering, Tianjin University of Technology and Education,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239738.pdf?arnumber=10239738
Reference20 articles.
1. Mapping and Localization of Multiple Odor Sources with Evidence Theory in Outdoor Environments;li;Robot,2019
2. A novel odor source localization system based on particle filtering and information entropy
3. A Deep Q-Network for robotic odor/gas source localization: Modeling, measurement and comparative study
4. Olfactory-Based Navigation via Model-Based Reinforcement Learning and Fuzzy Inference Methods
5. Development of CPT-M3D for multiple chemical plume tracing and source identification;sutton;International Conference on Machine Learning and Applications,0
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