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WOLF: A modular estimation framework for robotics based on factor graphs

Authors: Joan Solà, Joan Vallve-Navarro, Joaquim Casals, Jérémie Deray, Médéric Fourmy, Dinesh Atchuthan and Juan Andrade-Cetto

Year: 2021


Notes:

  • Extend factor graph to build more general estimators (self-calibration & dynamic quantities other than pose)
  • Tree structures with nodes like Sensors, Processors, Captures...
  • factors = relation between state blocks and measurements
  • processors = front-end, factors = back-end, problem= tree management
  • YAML information provider => no need to compile the code for a new problem
  • Pre integration not only for IMU but for every proprioceptive sensor
  • 2 types of tracker: frame to frame (scans or depth map) or feature to map (april tag & co)
  • Future work: multi-threading processors for real-time applications

Commentaires:

Condensé de ce qu'il faut savoir sur wolf: top!