Skills
- Vision, image processing, SONAR, RADAR and LIDAR data processing
- Data merging : vision, sonar, lidar, radar
- Bayesian filtering : Kalman, Multi-Gaussian, particles filtering …
- Mathematics: graph, Petri nets
- Control-command and control engineering
- Learning, neural network, genetic algorithms, support vector machine (SVM)
Implementation Examples
- Unmarked vehicles and people tracking done by a robot equipped with various sensors
- SLAM : Simultaneous Localization and Mapping
- Online mission planning and re-planning
- Trajectory planning and smoothing
- Obstacles avoidance
- Objects semantic recognition
- Truck 3D reconstruction
- 3 axes turret gyrostabilisation
