The aerospace and defence industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as drones, satellite technology and big data. In the last three years alone, there have been over 174,000 patents filed and granted in the aerospace and defence industry, according to GlobalData’s report on Artificial Intelligence in Aerospace, Defence & Security: Computer vision for autonomous navigation. Buy the report here.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
180+ innovations will shape the aerospace and defence industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the aerospace and defence industry using innovation intensity models built on over 262,000 patents, there are 180+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, machine learning for autonomous navigation, battery thermal management system, and satellite image mosaicing are disruptive technologies that are in the early stages of application and should be tracked closely. 3D image segmentation, AV on-board control systems, and lidar for 3D object detection are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas is sensor-guided aiming assists, which is now well established in the industry.
Innovation S-curve for artificial intelligence in the aerospace and defence industry
Computer vision for autonomous navigation is a key innovation area in artificial intelligence
Computer vision is a machine learning technique, which provides a machine with means to detect and identify objects including pedestrians or other objects in order to aid navigation.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 10+ companies, spanning technology vendors, established aerospace and defence companies, and up-and-coming start-ups engaged in the development and application of computer vision for autonomous navigation.
Key players in computer vision for autonomous navigation – a disruptive innovation in the aerospace and defence industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to computer vision for autonomous navigation
|Company||Total patents (2010 - 2022)||Premium intelligence on the world's largest companies|
|Stradvision||74||Unlock Company Profile|
|Luminar Technologies||19||Unlock Company Profile|
|General Motors||17||Unlock Company Profile|
|Amazon.com||12||Unlock Company Profile|
|Baidu||11||Unlock Company Profile|
|Huawei Investment & Holding||10||Unlock Company Profile|
|PlusAI||9||Unlock Company Profile|
|iRobot||9||Unlock Company Profile|
|Alphabet||8||Unlock Company Profile|
|Honda Motor||7||Unlock Company Profile|
|Intel||7||Unlock Company Profile|
|CNH Industrial||7||Unlock Company Profile|
|Cognata||5||Unlock Company Profile|
Source: GlobalData Patent Analytics
Stradvision is the company with the largest number of patents in computer vision for autonomous navigation. The company is developing computer vision solutions for autonomous vehicles for both the civil and defence sector and utilising LiDAR and low-cost cameras to detect objects. The second leading company is Luminar Technologies, which is trying to make autonomous driving safer through its computer vision solutions and aims to detect and clarify objects up to 250 meters away even in low light levels.
Computer vision for autonomous navigation has significant application and can be utilised to facilitate autonomous driving in battlefield scenarios as well as target recognition. Whilst the existing patents are largely being filed in the commercial sector, it will have significant impact in defence.
To further understand how artificial intelligence is disrupting the aerospace and defence industry, access GlobalData’s latest thematic research report on Thematic Research – AI in Defense.