Me again,
Inspector Bravo reporting for dot-joining duty!
Something I'm currently perusing is this recent announcement from AEye Inc who are teaming up with Booz Allen Hamilton to drive the adoption of AEye’s technology for aerospace and defense applications/DOD requirements. They are talking about applications "that must be able to see, classify, and respond to an object in real-time, at high speeds, and long distances". They mention technology like artificial intelligence (AI), machine learning (ML), and edge computing as well as embedded sensors that are capable of long-range detection, exceeding one kilometer, are flexible enough to track a bullet at 25,000 frames per second, and can either cue off of other sensors or self-cue, subsequently adapting to place high-density regions of interest around targets". The new long range LiDAR technology looks particularly interesting.
I looked at AEye's website and can see that they're working with NVDIA and with the NVDIA DRIVE autonomous vehicle platform (circled below). It also says "selected by Continental, one of the world’s largest automotive suppliers, as their high-performance sensor with volume production starting in 2024".
If you check out this other article linked below it talks about AEye's CTO who is Luis Dussan "previously a leading technologist at
Lockheed Martin and
Northrop Grumman responsible for designing mission-critical targeting systems for fighter jets. Dussan realized that a self-driving car faces a similar challenge; it must be able to see, classify, and respond to an object—whether it’s a parked car or a child crossing the street—in real-time and before it’s too late. He helped build the AEye team of scientists and electro-optics engineers from
NASA,
Lockheed,
Northrop, the
U.S. Air Force, and
DARPA to create a high-performance sensing and perception system to ensure the highest levels of safety for autonomous driving".
Suffice to say, there is a lot of interesting information here which might indicate the use of neuromorphic sensors but I'll need to keep digging to see if I hit either an almighty, tsunami-like water spout or else a dried up ancient burial ground with skeletons piled up in the corner and not a drop of moisture to be found for love or money. Obviously I'm hoping it will be the former option but I'll keep you posted.
B x
AEye joins hands with Booz Allen to advance Lidar in Aerospace and Defense
By
News Desk
-
08/19/2022 2 Minutes Read
AEye, Inc, a global leader in adaptive, high-performance lidar solutions, today announced a partnership with Booz Allen Hamilton, one of the Department of Defense’s premier digital system integrators and a leader in data-driven artificial intelligence, to productize and drive the adoption of AEye’s technology for aerospace and defense (A&D) applications.
With the accelerated activity in these markets, the company also announced the opening of an office in Florida’s “Space Coast” region, and the hiring of veteran defense systems engineering leader Steve Frey, a Lockheed Martin and L3Harris Technologies alum, as its vice president of business development for A&D.
AEye and Booz Allen Collaborate on AI-Driven Defense Solutions
“Aerospace and defense applications must be able to see, classify, and respond to an object in real-time, at high speeds, and long distances. AEye’s 4Sight™ software-definable lidar system, with its adaptive sensor-based operating system, uniquely meets these challenging demands,” said Blair LaCorte, CEO of AEye. “We are collaborating with Booz Allen Hamilton to optimize its real-time embedded processor perception stack. This aligns with Booz Allen’s digital battlespace vision for an information-driven, fully integrated conflict space extending across all warfighting domains, enabled by technology like artificial intelligence (AI), machine learning (ML), and edge computing to realize information superiority and achieve overmatch.”
Booz Allen has developed a client toolkit for assessing the performance of machine learning and artificial intelligence, fusing data from multiple sensors – including lidar, camera, and radar – and virtualizing perception data for optimized mapping onto embedded processors to fully support situational awareness for the military. This toolkit accelerates AEye’s 4Sight Intelligent Sensing Platform time-to-market in the Aerospace & Defense markets.
“Information warfare will drive tomorrow’s battles, and wars will be won by those who maintain superior situational awareness provided by critical technologies like AI and ML,” said Dr. Randy M. Yamada, Booz Allen vice president and a leader in the firm’s defense solutions portfolio. “Given this, AI must not be an afterthought, but rather a solution that can keep up with the challenging demands of DOD requirements. Booz Allen will enable AEye’s adaptive, software-defined architecture that greatly expands the utility of AI and ML for defense applications, which we believe will be a game-changer.”
AEye’s 4Sight sensors are capable of long-range detection, exceeding one kilometer, are flexible enough to track a bullet at 25,000 frames per second, and can either cue off of other sensors or self-cue, subsequently adapting to place high-density regions of interest around targets. These capabilities, enabled by 4Sight’s in-sensor perception, greatly expand the utility of AI and ML for defense applications and, ultimately, save lives.
Beyond defense, there are many types of applications that require a real-time transformation of raw data into actionable information. As such, AEye plans to leverage the perception stack advancements being developed in conjunction with Booz Allen into various edge computing environments with its automotive and industrial customer base.
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AEye Inc, has announced a partnership with Booz Allen Hamilton to productize and drive the adoption of AEye’s tech for Aerospace and Defense.
www.geospatialworld.net
Its 4Sight platform, shown at AutoSens Detroit, can be modified for any vehicle application, increasing adoption and deployment across OEM platforms and reducing engineering costs by enabling OEMs to embed the same lidar sensor in multiple locations using its proprietary sensing software.
futurride.com
I really think edge impulse is a great partnership for Brainchip. It’s all a huge ecosystem as Rob and Sean keeps referring too, like an elaborate soccer team hiring the best of the best for each position. Hopefully Brainchip will be the ball passed around and scoring all the goals.
be careful what you Google 
