2017 Workshops Program
We'll share more programs and details in the coming days.
All programs are subject to change without prior notice, please return to visit us again.
Discovering Applications for Thermal Imaging Drones
FLIR Systems, Inc.
FLIR Systems’ aerial thermal imaging cameras are significantly expanding the abilities of drones used for industrial purposes. Combining a drone’s unique vantage point with the capability of detecting variation in temperature on the ground; systems equipped with a thermal payload can increase both safety and efficiency in a variety of industries. The drone industry has been pushed forward by a ‘see it to believe it’ mentality, which then triggers the imagination and ingenuity of manufacturers, software providers, and end-users worldwide. You can expect to see visuals from the real-world applications in: public safety, inspections, agriculture, and more!
Adaptive Drone Mission for Optical Inspections
Technische Universität Chemnitz
This talk presents an approach of adaptive drone mission for optical inspections. In general the flight control is based on a predefined flight path. Therefore points of the flight path are defined by their GPS coordinates and the flight altitude is set. In addition a minimum distance to the object of interest and fundamental restrictions have to be considered. The data of mission sensors and intelligent onboard data processing based on a algorithms and powerful hardware are used for adaptive minimum distance control.
Multirotor UAV for Geomatics Applications in Malaysia
Universiti Teknologi MARA
There are many geomatics applications in Malaysia which can be solved using multirotor UAV. Many researchers have studied the problem of low cost mapping using satellite images. Multirotor UAV is able to acquire data within short period of time with low budget. The Multirotor UAV can provide three dimensional coordinates of features and terrain.
UAVs in Power Engineering
SkySystems Europe, s.r.o
UAV inspection of PV power plants, wind turbines, HV lines & pipelines using SWATI-Smart Waypoint Aerial Thermal Inspection. Online clouded IR/RGB geo-located maps.
Presentation of Present and Future of the RPAS/DRONES Legal Framework
SELENE AVOCATS is a member of the Air and Space Academy (Toulouse, France), of the UVS International (The French-Dutch Promoting Civilian Drones Industry Association) and of the Civilian Drones Council (from the French civil aviation authority – DGAC). The talk will rang from the insertion in General Air Traffic, civil and criminal liability, insurance guaranties to protection of privacy and personal data in accordance the French data protection authority (CNIL).
Integrated Hyperspectral Drone- Airborne Sensing for Automated Crop and Environmental Assessments
Queensland University of Technology
This workshop will present the features, techniques and results of a system and methodology that uses hyperspectral imaging and advance machine learning methods for more automated assessments of agricultural crops and of the environment.
Development of Unmanned Convertible Aircraft for Rapid and Efficient Deployment in Emergency Situations: Project EMERGENTIA
University of Seville
Project EMERGENTIA consist in the development of unmanned fixed wing convertible RPAS with VTOL capabilities for rapid and efficient deployment in emergency situations. The project focuses in the development of a fully autonomous vehicle, highly integrated and efficient embedded electronics, extended autonomy via aerodynamic and structures design optimization ,and the use renewable power sources such as solar and fuel cellls. The design tem includes healthcare professionals that are helping to define specific requirements for SAR missions and test scenarios.
Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System
Beijing University of Aeronautics and Astronautics
The workshop focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed by effectively integrating the object detection and tracking into a dynamic Kalman model. At the detection stage, the object of interest is automatically detected and localized from a saliency map computed via the image background connectivity cue at each frame; at the tracking stage, a Kalman filter is employed to provide a coarse prediction of the object state, which is further refined via a local detector incorporating the saliency map and the temporal information between two consecutive frames.