The aerospace and defence industry continues to be a hotbed of innovation, with the conflict in Ukraine driving defence spending and investment, the need to combat emerging technologies such as hypersonics, and growing importance of technologies such as AI and computer vision. 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 Robotics in Aerospace, Defence & Security: Computer vision for autonomous navigation.
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, collision avoidance for robots, computer vision for autonomous navigation, and autonomous control systems are disruptive technologies that are in the early stages of application and should be tracked closely. UAV swarm control, and drone flight control system are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are sensor-guided aiming assists and Acoustic signaling for autonomous vehicles which are now well established in the industry.
Innovation S-curve for robotics in the aerospace and defence industry
Computer vision for autonomous navigation is a key innovation area in robotics
Computer Vision is used to enable computers to gain understanding from images or videos, providing them with capabilities to detect and identify objects including pedestrians, buildings or other objects to enable 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’.
Stradvision is the company with the largest amount of patents in this sector. The company is developing computer vision solutions for autonomous vehicles for both the civil and defence sector and utilised lidar and low-cost cameras to detect objects. The second biggest 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 metres away even in low light levels. In terms of application diversity, Luminar Technologies is first followed by Amazon.com and Intel , and in geographic diversity, Plus AI is first followed by Stradvision and Baidu .
To further understand the key themes and technologies disrupting the aerospace and defence industry, access GlobalData’s latest thematic research report on Defence.