Solving Gravity Anomaly Matching Problem Under Large Initial Errors in Gravity Aided Navigation by Using an Affine Transformation Based Artificial Bee Colony Algorithm-Reference-Cited by-同舟云学术

Solving Gravity Anomaly Matching Problem Under Large Initial Errors in Gravity Aided Navigation by Using an Affine Transformation Based Artificial Bee Colony Algorithm

Published:2019-05-08 Issue: Volume:13 Page:
ISSN:1662-5218
Container-title:Frontiers in Neurorobotics
language:
Short-container-title:Front. Neurorobot.

Author:

Dai Tian,Miao Lingjuan,Shao Haijun,Shi Yongsheng

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Biomedical Engineering

Reference39 articles.

1. Search Algorithms for Engineering Optimization

2. “Passive gravity gradiometer navigation system,”;Affleck,1990

3. A modified artificial bee colony algorithm for real-parameter optimization;Akay;Inform. Sci.,2012

4. A multi-objective artificial bee colony algorithm;Akbari;Swarm Evol. Comput,2012

5. A new AUV navigation system exploiting unscented Kalman filter;Allotta;Ocean Eng,2016

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gravity adaptive parallel EKF matching algorithm based on CEP;CHINESE J GEOPHYS-CH;2024

2. Genetic Algorithm-Based Weighted Comprehensive Image Matching Algorithm for Underwater Gravity Gradient-Aided Navigation;IEEE Journal of Oceanic Engineering;2024

3. A Cascade Gravity Matching Algorithm With Large Initial Position Error;IEEE Sensors Journal;2023-11-01

4. Comprehensive Image Matching Algorithm Based on Local GLCM for Gravity-Gradient-Aided Navigation;IEEE/ASME Transactions on Mechatronics;2023-10

5. Remora Optimization Algorithm with Enhanced Randomness for Large-Scale Measurement Field Deployment Technology;Entropy;2023-03-04