- Folio, David and Cadenat, Viviane
In this paper, we address the problem of estimating image features whenever they become unavailable during a vision-based task. The method consists in using numerical algorithm to compute the lacking data and allows to treat both partial and total visual features loss. Simulation and experimental results validate our work for two different visual-servoing navigation tasks. A comparative analysis allows to select the most efficient algorithm.
- visual features estimation
- visual servoing
- collision avoidance.