journal article·2018-12-22Open access

Experimental Design of a Mobile Landing Platform to Assist Aerial Surveys in Fluvial Environments

David Borreguero, Omar Velasco, João Valente

Applied Sciences· Volume 9· Issue 1

Abstract

Sampling aquatic ecosystems is a laborious and expensive task, especially when covering large areas. This can be improved using unmanned aerial vehicles (UAVs) equipped with various remote sensing sensors. However, the UAV performance and autonomy may vary due to external factors when it is operated outdoors. In some cases, an emergency landing maneuver is necessary to avoid an accident, since in fluvial environments, the UAV control landing becomes a difficult operation. Therefore, it is important to have a backup platform on the water to fix this problem. This paper presents the design and development of a custom-built unmanned surface vehicle using open-source tools and with two types of operation—remotely piloted and autonomous—to support remote sensing practices with UAVs in fluvial environments. Finally, part of the software developed within this project was released in an open-source repository.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Underwater Vehicles and Communication Systems · Robotic Path Planning Algorithms · Water Quality Monitoring Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

System Engineering and Automation Deparment, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain

Funding

Comunidad de Madrid

References (23)

Show source-provided references
1. European comission (2014). A Healthy and Sustainable Environment for Present and Future Generations, Unión Europea. The European Union Explained.
2. A comparative study of the ecological state of the Ebro watershed rivers by means of macroinvertebrates and diatoms10.23818/limn.26.12 ↗
3. Studies of impact on fluvial ecosystems by airborne remote sensing: Thermal discharges in river Tajo and suspended solids diffusion in rivers Esera and Cinca (Spain)10.23818/limn.16.10 ↗
4. Permanent and temporary ponds in Doñana National Park (SW Spain) are threatened by desiccation
5. The application of small unmanned aerial systems for precision agriculture: A review10.1007/s11119-012-9274-5 ↗
6. Water quality and chlorophyll measurement through vegetation indices generated from orbital and suborbital images10.1007/s11270-016-2919-7 ↗
7. Morsy, S., Shaker, A., and El-Rabbany, A. (2018). Using multispectral airborne LIDAR data for land/water discrimination: A case study at Lake Ontario, Canada. Appl. Sci., 8.10.3390/app8030349 ↗
8. Robots for Environmental Monitoring: Significant Advancements and Applications10.1109/MRA.2011.2181683 ↗
9. Rodríguez, J.M.R., Hernández, J.J.D., and de Betoño, C.M.F. (2014, January 9). Estándares de interoperabilidad europea en los sistemas marítimos no tripulados. Proceedings of the 53 Congreso de Ingeniería Naval e Industria Marítima, Cartagena, Spain.
10. Wang, T., Wu, C., Wang, J., and Ge, T. (2018). Modeling and control of negative-buoyancy tri-tilt-rotor autonomous underwater vehicles based on immersion and invariance methodology. Appl. Sci., 8.10.3390/app8071150 ↗
11. Sun, X., Wang, G., Fan, Y., Mu, D., and Qiu, B. (2018). An automatic navigation system for unmanned surface vehicles in realistic sea environments. Appl. Sci., 8.10.3390/app8020193 ↗
12. Arrichiello, F., Das, J., Heidarsson, H., Chiaverini, S., and Sukhatme, G.S. (2009, January 14–17). Experiments in autonomous navigation with an under-actuated surface vessel via the Null-Space-based Behavioral control. Proceedings of the 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Singapore.10.1109/AIM.2009.5229988 ↗
13. Precision navigation and mapping under bridges with an unmanned surface vehicle10.1007/s10514-015-9419-2 ↗
14. Seedhouse, E. (2016). SpaceX’s Dragon: America’s Next Generation Spacecraft, Springer International Publishing. [1st ed.].10.1007/978-3-319-21515-0 ↗
15. Free running tests of a waterjet propelled unmanned surface vehicle
16. A Practical Approach to Modeling and Identification of Small Autonomous Surface Craft10.1109/JOE.2008.920157 ↗
17. Experimental evaluation of automatically generated behaviors for {USV} operations10.1016/j.oceaneng.2015.07.002 ↗
18. Djapic, V., Prijic, C., and Bogartz, F. (2015, January 19–22). Autonomous takeoff landing of small UAS from the USV. Proceedings of the OCEANS 2015—MTS/IEEE, Washington, DC, USA.10.23919/OCEANS.2015.7404595 ↗
19. Pinto, E., Marques, F., Mendonça, R., Lourenço, A., Santana, P., and Barata, J. (2014, January 5–10). An autonomous surface-aerial marsupial robotic team for riverine environmental monitoring: Benefiting from coordinated aerial, underwater, and surface level perception. Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO), Bali, Indonesia.10.1109/ROBIO.2014.7090371 ↗
20. Smooth autonomous take-off and landing maneuvers over a double-hulled watercraft
21. Fossen, T.I. (2011). Handbook of Marine Craft Hydrodynamics and Motion Control, John Wiley & Sons.10.1002/9781119994138 ↗
22. (2018, July 05). Ardumotive Arduino Greek Playground. Available online: http://www.ardumotive.com/.
23. Murphy, R.R. (2000). Introduction to AI Robotics, MIT Press.