The Performance Evaluation of Static Obstacle Recognition by Underwater Pressure Characteristics for Underwater Spherical Robot
Author:
Affiliation:
1. The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology,Beijing,China,100081
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10215380/10215516/10216236.pdf?arnumber=10216236
Reference19 articles.
1. Optimal Sensor Placement of the Artificial Lateral Line for Flow Parametric Identification
2. Underwater Positioning Based on an Artificial Lateral Line and a Generalized Regression Neural Network
3. Communication and Cooperation for Spherical Underwater Robots by Using Acoustic Transmission;gu;IEEE-ASME Transactions on Mechatronics,2022
4. Characteristic evaluation via multi-sensor information fusion strategy for spherical underwater robots
5. Deep learning model inspired by lateral line system for underwater object detection
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1. Underwater geometric target recognition based on information fusion of active electric field and pressure sensors;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13
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