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Visual-Inertial Perception for UAVs Using Hybrid Optical Flow and Feature Depth Estimation

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Year: 2026
Type: conference-paper
Source: International Artificial Intelligence and Data Processing Symposium (IDAP)
DOI: 10.1109/idap71869.2026.11728066
Authors: Mohammad Khaneghaei, Seyed-Yaser Nabavi-Chashmi, Davood Asadi, Habil Kalkan, Umut Güneş Seferlik, Ilyas Aydin, Sertug Kumru
Institutions: Adana Science and Technology University, Gebze Technical University, University of the West of England
Language: English

Topic: Robotics and Sensor-Based Localization
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences

Open Access status: closed
OpenAlex ID: W7223692039
FWCI:
Cites: 20
Cited by:
Related to: 10
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