Key Ways AI is Transforming the Aerospace and Defence Industry

Key Ways AI is Transforming the Aerospace and Defence Industry

Machine learning processes data from sensors like as cameras, lidar, and radar to interpret and respond to outside environments. In the aerospace and defence business, machine learning is used to power autonomous planes' takeoff, landing, and navigation.

Fremont, CA: Raytheon, General Dynamics, and Northrop Grumman, among others, have all announced AI-based research programs and product releases in recent years. Companies like Lockheed Martin, Airbus, and Boeing, for example, have invested in AI firms through their venture capital departments.

This trend is unsurprising, given that government defence organisations that collaborate with these commercial companies are emphasising the importance of AI in improving safety and security. 

For instance, the US Department of Defense (DoD) unveiled Project Maven in 2017, a large-scale endeavour to develop computer vision algorithms for military applications. The Department of Defense established the Joint Artificial Intelligence Center (JAIC) the following year to focus on AI research and development.

Safety and Pilot Support

According to a study, a simulation software firm, flight software must overcome three hurdles in order to attain full autonomy:

1. Landing and taking off without a runway

2. Identifying and overcoming obstacles (buildings, birds, vehicles, etc.)

3. Automatic path correction in the event of unforeseen circumstances such as storms, impediments, or hardware failures.

Aurora Flight Sciences was awarded a patent in August 2020 for a system that combines on-board sensors and computer vision software to power autonomous aircraft landing on ships at sea. According to the patent, current autonomous landing systems rely mainly on ship-mounted radars, which are more prone to component failures, and aircraft outfitted with the appropriate software and hardware will increase autonomous landing safety.

Aurora was acquired by Boeing in 2017 and has since served as the foundation for the aerospace giant's deep learning research in autonomous flying.

Autonomous aircrafts

Machine learning processes data from sensors like as cameras, lidar, and radar to interpret and respond to outside environments. In the aerospace and defence business, machine learning is used to power autonomous planes' takeoff, landing, and navigation.

For aerospace and defence firms, autonomous flight offers a number of benefits, including increased safety and lower fuel costs.

See Also: Top Aerospace and Defense Consulting

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