KACST and KAUST are collaborating on two research projects using KACST's Saker 4 drone. The first project prototypes a UAV-based flash flood monitoring system using disposable microsensors. The second augments UAV navigation with vision to improve takeoff and landing via a new runway detection algorithm. Why it matters: This collaboration showcases the growing sophistication of Saudi Arabia's indigenous drone capabilities for environmental monitoring and advanced navigation research.
KAUST researchers developed a low-cost, AI-powered drone system to recognize and track camels, addressing challenges faced by local herders. The system uses commercial drones, cameras, and machine learning to monitor camel herds in real time without expensive GPS collars. The AI model revealed insights into camel migration patterns, showing coordinated grazing and sensitivity to drone sounds. Why it matters: This system offers an affordable solution to preserve Saudi Arabia's camel herding tradition while providing valuable insights into camel behavior and contributing to the local economy.
KAUST Ph.D. student Matthias Müller won the Best Paper/Presentation Award at the 2nd International Workshop on Computer Vision for Unmanned Aerial Vehicles for his paper on teaching UAVs to navigate a racecourse autonomously. The paper, "Teaching UAVs to Race: End to End Regression of Agile Controls in Simulation," details research on training a deep neural network to predict UAV controls from raw image data. The research uses imitation learning with data augmentation to allow for correction of navigation mistakes, outperforming state-of-the-art methods. Why it matters: This award recognizes KAUST's contributions to computer vision and autonomous drone navigation, important areas for future applications in logistics, surveillance, and environmental monitoring in the region.
KAUST has announced a collaboration with Ocean Aero and Shelf Subsea to enhance Red Sea research using autonomous underwater and surface vehicles (AUSVs). Ocean Aero's Triton Generation III AUSV, which can sail and submerge for long-range data collection, will be customized with sensors for KAUST's Red Sea Research Center. KAUST's CEMSE division will integrate AI and IoT features into the vehicles. Why it matters: This partnership will advance KAUST's marine research capabilities and contribute to the understanding of the Red Sea's unique environment, aligning with Saudi Arabia's Vision 2030 and the UN's Ocean Science Decade.
KAUST's Hydrology, Agriculture and Land Observation Lab (HALO) uses remote sensing tools like drones to map and monitor agricultural sites, including one of the world's largest olive farms in Al Jouf. They also collaborate with the Ministry of Environment, Water and Agriculture of Saudi Arabia and the Center for Desert Agriculture. HALO's mangrove project focuses on carbon sequestration by Avicennia marina mangroves in the Red Sea as part of the KAUST Circular Carbon Initiative. Why it matters: This research contributes to understanding and promoting the conservation of mangrove ecosystems for carbon neutrality in line with Saudi Arabia's sustainability goals.