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DM-VIO: Delayed Marginalization Visual-Inertial Odometry

Author: Lukas von Stumberg

Notes:

  • Work on marginalization to limit the update time
  • scale is not observable with camera IMU in the constant velocity case
  • initialization of gravity and scale with VIO in the beginning, then scale and gravity direction are still part of the optimization pb
  • pose graph bundle adjustement with dynamically weighted photometric factors
  • pre integration between KF of IMU data
  • photometric strategy based on DSO Direct Sparse Odometry
  • error dependent weight for photometric factors to reduce the weight of pixels with high error
  • Marginalization with the Schur Complement
  • Marginalization creates a marginalization factor
  • what is a active factor? a factor on active keyframes (maybe)
  • Delays marginalization by Linearizing previous factors
  • Photometric factors shared between 8 KF
  • Marginalization is done step by step ie. once for each variable
  • Optimizing variables => obtaining covariance

Commentaire:

Papier très dur à comprendre, mais traite de l'utilisation des factor graph en temps réel: très intéressant. Le reprendre à tête reposée et/ou lire le papier DSO