Feng Yang

ORCID: 0000-0002-5417-0369
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About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Infrared Target Detection Methodologies
  • Planetary Science and Exploration
  • Advanced Measurement and Detection Methods
  • Target Tracking and Data Fusion in Sensor Networks
  • Robotic Path Planning Algorithms
  • Multi-Criteria Decision Making
  • Remote Sensing and LiDAR Applications
  • Power Systems and Technologies
  • Image and Object Detection Techniques
  • Radar Systems and Signal Processing
  • Indoor and Outdoor Localization Technologies
  • Smart Grid and Power Systems
  • Advanced Algorithms and Applications
  • Space exploration and regulation
  • Antenna Design and Analysis
  • Solar and Space Plasma Dynamics
  • Satellite Communication Systems
  • Space Exploration and Technology
  • Ionosphere and magnetosphere dynamics
  • Advanced Vision and Imaging
  • Space Science and Extraterrestrial Life
  • Geomagnetism and Paleomagnetism Studies

Northwestern Polytechnical University
2022-2024

China University of Petroleum, East China
2022

Guangxi University
2020

Shandong Institute of Automation
2013

Northern Arizona University
2006

The ability to automatically detect dust devils in the Martian atmosphere from orbital imagery is becoming important both for scientific studies of planet and planning future robotic manned missions. This paper describes our approach unsupervised detection preliminary results achieved date. algorithm centers upon use a filter constructed Gaussian profiles match devil characteristics over range scale orientation. classification step designed reduce false positive errors caused by static...

10.1109/ssiai.2006.1633719 article EN 2006-05-25

10.3724/sp.j.1249.2014.02130 article EN JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING 2014-01-01

In the multi-target tracking field, infrared sensor of Unmanned Aerial Vehicle (UAV) has a very good concealment because it don’t emit energy to surveillance area. Due lack range information, traditional method multi-plat search and (IRST) system use cross location realize target localization tracking, but accuracy becomes poor when maneuvering targets appear. While radar can receive both bearing measurements which ensure accuracy. So, proposed algorithm facing UAV combines with IRST,...

10.21535/proicius.2015.v11.678 article EN Proceedings of International Conference on Intelligent Unmanned Systems 2015-01-01

The Unmanned Aerial Vehicle (UAV) plays more and important role in modern war. It is becoming a new efficient mode to use unmanned reconnaissance aircraft obtain accurate coordinate of enemy ground target provide it for attacked weapon system timely. In the traditional tracking, usually assumed that clutter homogeneously distributed surveillance region. Actually, obeys nonhomogeneous distribution many situations, such as environment, performance standard probability hypothesis density (PHD)...

10.21535/proicius.2014.v10.299 article EN Proceedings of International Conference on Intelligent Unmanned Systems 2014-01-01

10.3724/sp.j.1087.2008.01973 article EN Journal of Computer Applications 2008-08-20

The feature matching quality plays an important role in the robustness and location accuracy of feature-based Simultaneous Localization Mapping (SLAM) system, which descriptor is significant tracking re-localization. In this paper, we propose efficient Monocular SLAM BEBLID-SLAM, use BEBLID for ORB-SLAM pipeline. proposed adopting histogram equalization to preprocess input images offline training Bag-of-Words respectively adopted realize re-localization loop closure. Moreover, valided that...

10.1109/yac57282.2022.10023629 article EN 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) 2022-11-19
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