Jiaxing Li

ORCID: 0000-0003-2177-7129
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About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Satellite Image Processing and Photogrammetry
  • Underwater Vehicles and Communication Systems
  • Image Processing Techniques and Applications
  • Inertial Sensor and Navigation
  • Optical measurement and interference techniques
  • Advanced Vision and Imaging

China Academy of Space Technology
2023

Shanghai University
2018

Autonomous navigation based on sequential images is widely accepted as an effective method to guarantee pinpoint landing and precise obstacle avoidance in planetary landings. Observing a large number of landmarks processing places computational burden landers with limited resources, but existing studies lack observation planning methods for unknown environments that can be operated autonomously landers. In this paper, we analyze the observability vision-aided inertial (VAIN) system propose...

10.1109/taes.2023.3268021 article EN IEEE Transactions on Aerospace and Electronic Systems 2023-01-01

To solve the problem that external systematic errors of optical camera cannot be fully estimated due to limited computing resources, a unified dimensionality reduction representation method for is proposed, and autonomous relative navigation realized. The translational misalignment are converted into three-dimensional rotation error, whose differential model can established through specific attitude control appropriate assumption. Then, error motion state jointly in an augmented Kalman...

10.1016/j.cja.2023.08.015 article EN cc-by-nc-nd Chinese Journal of Aeronautics 2023-08-23

In the field of optical measurement,the spherical aberration always causes a circular speckle which is symmetrical to optic axis on interferograms and it can even blur images.In this paper, deep learning algorithm put forward identify coefficients monochromatic interferograms.The needs sufficient training samples, but also takes lot time collect real as samples.The method zernike polynomial fitting wave surface much better relative least square method.Therefore,this paper adopts polynomials...

10.1117/12.2501004 article EN Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018) 2018-07-24
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