HVIOnet: A deep learning based hybrid visual–inertial odometry approach for unmanned aerial system position estimation

Author:

Aslan Muhammet FatihORCID,Durdu Akif,Yusefi Abdullah,Yilmaz Alper

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Cited by 25 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. Object and spatial discrimination makes weakly supervised local feature better;Neural Networks;2024-09

2. VIO-DualProNet: Visual-inertial odometry with learning based process noise covariance;Engineering Applications of Artificial Intelligence;2024-07

3. Localization Using Two Different IMU Sensor-Based Dead Reckoning System;2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH);2024-03-20

4. Vision-inertial collaborative localization of multi-agents with remote interaction;Journal of King Saud University - Computer and Information Sciences;2024-03

5. Mitigating Phishing Threats in Unmanned Aircraft Systems (UAS) Through Multi-Stage Defense Strategies;Advances in Information Security, Privacy, and Ethics;2024-01-05

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