Indra is launching new research and development projects to meet growing inspection and training requirements for civil UAV operators, the company announced on 29 November.
Under its Smart Logistic 4.0 project, the company will use UAS equipped with precision sensors and cameras for the automated inspection of any type of infrastructure, from ships, aircraft and other platforms, and industrial facilities. The use of UAS will speed up the inspection of systems such as anchors, structures, antennas and sensors at height. The collected data will feed a system that will use machine learning, big data and artificial intelligence techniques to anticipate future incident or failures.
In the second project, the company will support the training of aircraft pilots by advanced flight simulators. UAS will be used to collect images and data from airports and other locations. The precise data collected will enable the creation of maps and terrain elevations which will be used to generate the virtual environments projected by the simulators used to train pilots.
Both projects will be undertaken under the Civil UAVs Initiative, an project of the local government of Xunta de Galicia in the northeast of Spain, which aims to become a European leader in the unmanned systems industry.
As the dynamics of aerial combat rapidly evolve, Chinese scientists have engineered a sophisticated air separation drone model that can fragment into up to six drones, each capable of executing distinct battlefield roles and challenging the efficacy of current anti-drone defences such as the UK’s Dragonfire laser system.
Advancements in air defence technologies have begun to reshape aerial combat dynamics in the Middle East, as illustrated by recent events involving the Israeli Air Force and Hezbollah.
Both sides of the Russia-Ukraine war have been using UAS for effective low-cost attacks, as well as impactful web and social media footage. Thousands more have now been committed to Ukrainian forces.
The US Army has intentions to develop light, medium and heavy variants of the Robotic Combat Vehicle (RCV) as part of the branche’s Next Generation Combat Vehicle family.
DroneSentry-X, a cross-vehicle compatible, automated 360° C-UAS detect and defeat device, can offer 360° awareness and protection using integrated sensors. According to its manufacturer, it is suitable for mobile operations, on-site surveillance and on-the-move missions.
Funded by the country’s former president, the new C-UAS systems will be sent to the frontline where they have already been tested against Russian invading forces.
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