This document reports the progress of the RIVERWATCH experiment from week 51 to week 59.

Significant advances were made in the period, in particular related with the acquisition which was finalised and the work carried out for the development of the UAV plataform.

The main tasks related with hardware integration during this period was the hardware integration of all the components (hardware and software) for the quadcopter. In regarding the ASV development the new hexacopter model was integrated in our simulator. Outdoor tests involving the vision based detector for the UAV were carried out. More importantly several advances in the operation centre were carried out since the last report, with some more modules developed/adapted to the system.

This document reports the progress of the RIVERWATCH experiment from week 42 to week 50.

The acquisition process is not finished yet which impacts some of the tasks. The Airmar PB200 Weather Station and the Sonar are tested and integrated.The robot's 3D perception module's is being developed and the results in land were very promising. The next move is to test it in water surface conditions.The UAV vision based detector proceeded and improved. The work on image processing for terrain classification is showing promising results.

This document reports the progress of the RIVERWATCH experiment from week 33 to week 41.

Progress has been achievedin most tasks. Some of the components have already arrived while others are still in the acquisition process because for instance of customs clearance. The water-land segmentation process that exploits a priori knowledge of the shoreline pose, extracted from overhead imagery was further developed and we are currently implementing a symmetry detection operator in order to exploit the mirroring effect observed in settled waters. Then, these cues will be fused for a robust extraction of the shoreline. regarding energy harvesting and management, we have specified the problem and we expect to have an instantiation of the model available for simulation during the next reporting period. During the period the USV vision based detector was further developed and the design of the UAV overhead image processing for terrain classification procee has been done and its implementation initiated. In this report we overview the overall idea with the expectation that details can be provided in the forthcoming report.

This document reports the progress of the RIVERWATCH experiment from week 25 to week 32.

Most of the tasks have progressed smoothly.

At the time of writing this report, Uninova received the prefunding what allowed to start contacting the suppliers regarding the order of several components essential to the project.

In Task 3 we are developing a water-land segmentation process that exploits a priori knowledge of the shoreline pose, extracted from overhead imagery. To attain this goal, we have previously reported a preliminary step, namely the segmentation of the sky region from the rest of the image. Motivated by the work of Achar et al. (2011), we have developed a mechanism, during the current reporting period, for the generation of training data from the sky/non-sky segmentation process.

In task 4 the work in the simulation environment proceeded as well as the USV vision based detector.

This document reports the progress of the RIVERWATCH experiment from week 17 to week 25.

The work progressed in  all tasks.

The major results in the period are: 1) the segmentation of the sky region from the rest of the image which was concluded in task 3; 2) the USV vision based detector progressed and some results are shown; and 3) the work of the control centre in task 6 progressed and a new version was created.