Didn’t appear to include Brainchip did it ?
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Didn’t appear to include Brainchip did it ?
Pom down under
Top 20
Pom down under
Top 20
cosors
👀
Off topic but quite interesting!
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
Stable Genius
Regular
Nice mention from FG:
www.linkedin.com
Frontgrade Gaisler on LinkedIn: #spacecomputing
Today we had a visit from the European Space Agency - ESA and BrainChip in our booth at Space Tech Expo Europe. Visit us to learn more about our collaboration…
Bravo
If ARM was an arm, BRN would be its biceps💪!
These guys are using Prohpesee's event-based camera to create a navigation system that allows low-cost drones to navigate reliably without GPS.
Neuromorphic Camera Helps Drones Navigate Without GPS
5 hours ago
3 min read
Edd Gent is a Contributing Editor for IEEE Spectrum.
Researchers are testing new hybrid imaging and inertial-guidance tech (pictured) that could enable drones to navigate even in GPS-denied environments.
Satellite-based navigation is the bedrock of most modern positioning systems, but it can’t always be relied on. Two companies are now joining forces to create a GPS-free navigation system for drones by fusing neuromorphic sensing technology with an inertial navigation system (INS).
GPS relies on receiver units that communicate wirelessly with a network of satellites to triangulate the user’s location with incredible precision. But these signals are vulnerable to interference from large buildings, dense foliage, or extreme weather and can even be deliberately jammed using spoofed radio signals.
This has prompted the design of alternative navigation approaches that can be used when GPS fails, but they have limitations. INS use sensors like accelerometers and gyroscopes to track a vehicle’s location from a known starting point. However, small measurement errors accumulate over time and can ultimately cause a gradual drift in positioning accuracy. Visual navigation systems use cameras to scan the terrain below an aircraft and work out where it is, but this takes considerable computing and data resources that put it out of reach for smaller, less expensive vehicles.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment. You can travel really long distances over a really long time.”—Chris Shaw, Advanced Navigation
A pair of navigation technology companies has now teamed up to merge the approaches and get the best of both worlds. NILEQ, a subsidiary of British missile-maker MBDA based in Bristol, UK, makes a low-power visual navigation system that relies on neuromorphic cameras. This will now be integrated with a fiber optic-based INS developed by Advanced Navigation in Sydney, Australia, to create a positioning system that lets low-cost drones navigate reliably without GPS.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment,” says Advanced Navigation’s CEO Chris Shaw. “You can travel really long distances over a really long time.”
When deciding on a navigation system for a vehicle there is always a price to performance trade-off, says Shaw. It typically doesn’t make sense to install expensive, high accuracy INS on a low-cost platform like a drone, but smaller, cheaper ones are more prone to positioning drift. “Sometimes it could be just 10, 20 minutes, before you start to get such a big error growth that the position accuracy is not good enough,” says Shaw.
NILEQ’s system significantly reduces the resources required for visual navigation by using a neuromorphic camera. Inspired by the way the human retina works, these devices don’t capture a series of images, but instead track changes in brightness across the sensor’s individual pixels. This generates far less data and operates at much higher speeds than a conventional camera.
“Using the neuromorphic camera alongside low-cost, inexpensive inertial sensors [provides] a big cost and size benefit.”—Chris Shaw, Advanced Navigation
The company says its proprietary algorithms process the camera output in real-time to create a terrain fingerprint for the particular patch of land the vehicle is passing over. This is then compared against a database of terrain fingerprints generated from satellite imagery, which is stored on the vehicle. The process of creating these fingerprints compresses the data, according to Phil Houghton, head of future concepting at MBDA. “This means that the size of the database loaded onto the host platform is trivial and searching it in real-time requires minimal computation,” he adds.
On the other hand, neuromorphic cameras are not currently able to operate using infrared, says Houghton, which would enable nighttime operations. But infrared neuromorphic cameras are currently under development and should be available in the next few years, he says.
Neuromorphic cameras are more expensive than conventional ones, often costing in the region of $1000, says Shaw. But this is balanced out by the fact that they can be combined with much cheaper INS. “Some really high-end navigation systems might run into the hundreds of thousands of dollars,” he says. “This approach of using the neuromorphic camera alongside low-cost, inexpensive inertial sensors, there’s a big cost and size benefit.”
Beyond providing the INS, Advanced Navigation will also use its AI-powered sensor fusion software to combine the outputs of the two technologies and provide a single, reliable location reading that can be used by a drone’s navigation system in much the same way as a GPS signal. “A lot of customers in this space want something they can just basically plug in and there’s no big learning curve,” says Shaw. “They don’t want any of the details.”
The companies are planning to start flight trials of the combined navigation system later this year, adds Shaw, with the goal of getting the product into customers hands by the middle of 2025.
spectrum.ieee.org
Neuromorphic Camera Helps Drones Navigate Without GPS
High-end positioning tech comes to low-cost UAVs
Edd Gent5 hours ago
3 min read
Edd Gent is a Contributing Editor for IEEE Spectrum.
Researchers are testing new hybrid imaging and inertial-guidance tech (pictured) that could enable drones to navigate even in GPS-denied environments.
Satellite-based navigation is the bedrock of most modern positioning systems, but it can’t always be relied on. Two companies are now joining forces to create a GPS-free navigation system for drones by fusing neuromorphic sensing technology with an inertial navigation system (INS).
GPS relies on receiver units that communicate wirelessly with a network of satellites to triangulate the user’s location with incredible precision. But these signals are vulnerable to interference from large buildings, dense foliage, or extreme weather and can even be deliberately jammed using spoofed radio signals.
This has prompted the design of alternative navigation approaches that can be used when GPS fails, but they have limitations. INS use sensors like accelerometers and gyroscopes to track a vehicle’s location from a known starting point. However, small measurement errors accumulate over time and can ultimately cause a gradual drift in positioning accuracy. Visual navigation systems use cameras to scan the terrain below an aircraft and work out where it is, but this takes considerable computing and data resources that put it out of reach for smaller, less expensive vehicles.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment. You can travel really long distances over a really long time.”—Chris Shaw, Advanced Navigation
A pair of navigation technology companies has now teamed up to merge the approaches and get the best of both worlds. NILEQ, a subsidiary of British missile-maker MBDA based in Bristol, UK, makes a low-power visual navigation system that relies on neuromorphic cameras. This will now be integrated with a fiber optic-based INS developed by Advanced Navigation in Sydney, Australia, to create a positioning system that lets low-cost drones navigate reliably without GPS.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment,” says Advanced Navigation’s CEO Chris Shaw. “You can travel really long distances over a really long time.”
When deciding on a navigation system for a vehicle there is always a price to performance trade-off, says Shaw. It typically doesn’t make sense to install expensive, high accuracy INS on a low-cost platform like a drone, but smaller, cheaper ones are more prone to positioning drift. “Sometimes it could be just 10, 20 minutes, before you start to get such a big error growth that the position accuracy is not good enough,” says Shaw.
Ditching GPS for Cameras
A visual navigation system can provide a workaround by giving the INS high accuracy position updates at regular intervals, which it can use to recalibrate its location. But the high resolution cameras used in these systems generate huge amounts of data, and this has to be compared against a massive database of satellite imagery using computationally expensive algorithms. Fitting these kinds of computational resources on a small and power-constrained vehicle like a drone is typically not feasible.NILEQ’s system significantly reduces the resources required for visual navigation by using a neuromorphic camera. Inspired by the way the human retina works, these devices don’t capture a series of images, but instead track changes in brightness across the sensor’s individual pixels. This generates far less data and operates at much higher speeds than a conventional camera.
“Using the neuromorphic camera alongside low-cost, inexpensive inertial sensors [provides] a big cost and size benefit.”—Chris Shaw, Advanced Navigation
The company says its proprietary algorithms process the camera output in real-time to create a terrain fingerprint for the particular patch of land the vehicle is passing over. This is then compared against a database of terrain fingerprints generated from satellite imagery, which is stored on the vehicle. The process of creating these fingerprints compresses the data, according to Phil Houghton, head of future concepting at MBDA. “This means that the size of the database loaded onto the host platform is trivial and searching it in real-time requires minimal computation,” he adds.
On the other hand, neuromorphic cameras are not currently able to operate using infrared, says Houghton, which would enable nighttime operations. But infrared neuromorphic cameras are currently under development and should be available in the next few years, he says.
Neuromorphic cameras are more expensive than conventional ones, often costing in the region of $1000, says Shaw. But this is balanced out by the fact that they can be combined with much cheaper INS. “Some really high-end navigation systems might run into the hundreds of thousands of dollars,” he says. “This approach of using the neuromorphic camera alongside low-cost, inexpensive inertial sensors, there’s a big cost and size benefit.”
Beyond providing the INS, Advanced Navigation will also use its AI-powered sensor fusion software to combine the outputs of the two technologies and provide a single, reliable location reading that can be used by a drone’s navigation system in much the same way as a GPS signal. “A lot of customers in this space want something they can just basically plug in and there’s no big learning curve,” says Shaw. “They don’t want any of the details.”
The companies are planning to start flight trials of the combined navigation system later this year, adds Shaw, with the goal of getting the product into customers hands by the middle of 2025.
Neuromorphic Camera Helps Drones Navigate GPS-free
High-end positioning tech comes to low-cost UAVs
spectrum.ieee.org
Valeo have a division working on intelligent lighting.Off topic but quite interesting!
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
View attachment 73125
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
BigDonger101
Founding Member
Highly doubtful mate, markets look like they're going to get slam dunked in 2025. (especially semi conductors)
Sean is losing all credibility as a man.
He really wasn't the addition we needed. It's quite appalling at this stage lol. Same crap over and over and over again from the team. AGM looks to be exciting. Antonio said himself, if nothing by 2026, there's a fundamental issue with BRN.
Prove me wrong Sean.
Pom down under
Top 20
7für7
Top 20
You know… i ignore this guy’s … so, no need to show me their crap…
Pom down under
Top 20
It’s a good read with you and those over at the crapperYou know… i ignore this guy’s … so, no need to show me their crap…
7für7
Top 20
What should I do… here in the TSE, most are objective even when they criticize… I also have some on ignore here … but overall, it’s balanced and objective… but in the other forum, sometimes some people need an intellectual slap because they think they own the forum.It’s a good read with you and those over at the crapper
Pom down under
Top 20
Don’t think it’s been posted before?
Pom down under
Top 20
cosors
👀
I heard about it for the first time yesterday via Osram. I think it would be good if several companies were to realise this ingenious technology for us all as soon as possible.
The light from Osram for cars, for example, can be controlled to multiple targets at a distance of 50 metres with centimetre precision.
Ingenious!
Yes. Valeo have been making a fair bit of noise about their intelligent lighting too.
https://www.valeo.com/en/lighting/
...
With its embedded intelligence, lighting can now provide new insights. It can guide, alert and assist. It can increase driver alertness, for example by over-illuminating cyclists on the roadside. It can draw the curves of the road on the pavement. It can warn the vehicle behind of potential danger using rear lights. Valeo already owns all these operational technologies. For example, our PictureBeam Monolithic technology is the first high-definition LED artificial intelligence (AI) lighting solution to significantly improve road safety at night.
Stable Genius
Regular
We need to take a page out of FG’s marketing team; RELENTLESS!
www.linkedin.com
Frontgrade Gaisler Unveils GR716B, a New Standard in Space-Grade Microcontrollers
Frontgrade Gaisler on LinkedIn: #spacecomputing
We have launched our latest radiation-hardened microcontroller, the GR716B. Building on the success of the GR716A, this latest innovation is a step forward in…
Has there been any news from this event yet?
Unveiling the Key Technologies of Next-GenAI Computing Platforms and Memory Solutions November 20, 2024
This event will be held on Wednesday, November 20th, at the GIS Hsinchu Science Park Convention Center in Taiwan. Join BrainChip for a deep dive into the rapidly evolving landscape of generative AI, particularly its growing potential in edge applications. As IoT devices continue to proliferate, edge computing is becoming a key area for deploying generative AI, enabling real-time data processing, reduced latency, and less reliance on cloud resources. Whether in smart factories, cities, or homes, generative AI is enhancing adaptability and decision-making, driving more personalized and intelligent services.
Register here:
Related Posts
23041 Avenida De La Carlota, Suite 250 Laguna Hills CA 92653
+1 949 784 0040 (United States)
sales@brainchip.com
Unveiling the Key Technologies of Next-GenAI Computing Platforms and Memory Solutions November 20, 2024
This event will be held on Wednesday, November 20th, at the GIS Hsinchu Science Park Convention Center in Taiwan. Join BrainChip for a deep dive into the rapidly evolving landscape of generative AI, particularly its growing potential in edge applications. As IoT devices continue to proliferate, edge computing is becoming a key area for deploying generative AI, enabling real-time data processing, reduced latency, and less reliance on cloud resources. Whether in smart factories, cities, or homes, generative AI is enhancing adaptability and decision-making, driving more personalized and intelligent services.
Register here:
Related Posts
23041 Avenida De La Carlota, Suite 250 Laguna Hills CA 92653
+1 949 784 0040 (United States)
sales@brainchip.com
Attachments
Similar threads
