Research
Research Interests
Embedded multi‐modal perception systems for dynamic scene understanding
In the context of mobile robotics, my research works address scene understanding by means of embedded multi-modal perception systems. Scene understanding remains a complex problem, essential for high society impact applications such as Intelligent Transportation Systems, involving in particular ADAS and Autonomous Vehicles.
| SLAM | Context-aware multi-modal perception |
|---|---|
| Multimodal loop-closure fusion HOOFR SLAM Vehicle Localization Machine learning | Calibration-free data association |
| Computer vision | Filtering/Multiple Target Tracking |
| Multiple-view geometry Scene motion reconstruction Visual perception (2D, 3D and 3D+t) | Bayesian approaches for DATMO applications Multi-sensor data fusion Data association |
Applications
Mapping, localization, navigation and multi-object tracking
