Obstacle Detection algorithms

The object detection algorithms applied to autonomous vehicles and rescue robots are a set of algorithms developed for collision detection. This is done by using and fusing information coming from the sensors equipped on the robot. These algorithms have been integrated into a system (ODS) that has the following objectives, in order to provide detection of obstacles using data coming from different sensors and tracking of obstacles by fusing information obtained in the previous step. 

SnR Data Model

SnR Data Model forms all these heterogeneous data in specific data structures that altogether form. The modeling has been done by analyzing all the possible sources of data (sensors, technologies, assets, European Civil Protection initiatives data model, historical data available on different past projects), identifying then all the relevant field data produced, and grouping them according to relations and hierarchies. To design the data model, the UML approach has been adopted in order to identify the logical data structures or entities and their relations.