A previously unidentified variety of dog: That is what the first autopilot-equipped Australian Tesla’s Nvidia system reported when it encountered a kangaroo.
A few thousand web-sourced videos and a matter of days later (it could have been hours), every Tesla in the world knew what a kangaroo was, how to anticipate its potential trajectories and how to avoid one on the road.
There are five key lessons aerospace and defense executives should take as we watch—and benefit from—the ongoing revolution in automotive:
Sensors are about more than situational awareness. The power of the kangaroo story is not in the first vehicle’s first encounter. On that day, the car successfully maneuvered past the unknown “dog.” Most important, that car is a single node in a deep-learning network.
Beware asynchronous innovators. The current revolution in the automotive industry was launched by outsiders. In a successful, supposedly mature market, it can be remarkably difficult to identify and launch a technology revolution.
Look beyond product platforms to platforms of products.Envision the potential for smart connected product solutions to make obsolete the long-stalled next-generation air traffic control, or to unlock the next level of battlefield integration.
Product companies will win in a world of smart products. Even Internet players like Google are building physical cars, not just placing their bets on providing software and connectivity. The power being unlocked in the current revolution is indirectly linking broad networks of product-embedded sensor platforms through deep-learning algorithms to improve the product’s real-world engagement.
Search deeply for ripe technologies outside the traditional base. In today’s technology marketplace, sensing the ecosystem becomes an increasingly core component of the MR&D agenda.
Huge value will be created by those with the prescience to actively look outside A&D, ask “what-if” and identify high-value applications. Carpe diem.
Fascinating set of observations, maybe even best practices, from Tom Mayor who is an industry practice lead at KPMG. In various shapes, sizes and combinations these concepts, which leverage AI/deep-learning and best of breed technologies, will influence UAV development in the aerospace industry.
Take the idea of a fleet that learns, apply it to a swarm and you create something