BRN Discussion Ongoing

[Diogenese]

Well, it's true that the position of the receiving pixel defines the angle of incidence of the incoming beam (the central ray of the incoming beam passes straight through the lens), but a direct beam from an oncoming vehicle will be orders of magnitude more powerful than a scattered return beam, and may at least temporarily "blind" the receiving pixels as they reach "saturation". I suppose that this has already been addressed in relation to night-vision goggles.

Also, the beam from the oncoming vehicle is not synchronized with the receiving vehicle's outgoing bursts, so it cannot be used directly to determine the distance.

It would, of course, be possible to track the angular movement of the oncoming vehicle from the moving location of the "blinded" pixels.

The point density will decrease with distance (unless the laser beams have a beam spread angle proportional to the distance), so the probability of a direct hit on the receiving sensor will increase as the vehicles get closer.

Oncoming vehicles can produce both direct laser impingement and scattered light impingement. Following vehicles only produce scattered light impingement on a forward facing LiDaR.

One solution may be that, for pulsed LiDaR (send a laser pulse and wait for reflection before sending another pulse) the LiDaR receiver pixels are only queried for a short period determined by the number (N) of laser pulses per frame (1/25 of a second). So if we use N = 4000*, the individual pixels are scanned every 0.04 sec for a period of 0.000005sec (assuming 50% duty cycle). So I guess what we are looking at is the probability of an incoming direct or scattered beam arriving in the time window a pixel is being queried by the Akida SNN.

As you point out, there will be only one pulse from the oncoming vehicle which could possibly impinge on the receiving pixel being examined, and this will also be 0.5/4000 of a second every 1/25 th of a second. So the probability of a direct hit while a pixel is being examined is quite low.

PS: I wonder if there is a correlation between the number of pulses per frame and the number of pixels.

*Valeo uses 25 frames per second, but the 4000 pulses per frame and 50% duty cycle are my guesstimates by way of example only. 50% duty cycle means the pulse duration and the waiting period for reflection are equal.

Here is one of the random doodles I made showing the relation of incoming beams impinging on the pixels of a light sensor. If you use, say, the central pixel (blue) as the reference, the angles of other beams can be determined precisely by the pixels each beam strikes.

(This is from one of the experiments I conducted with my Christmas laser pointer while I was endeavoring to watch the transit of Venus)
(I find sometimes the trees obscure one's view of the forest)

 

[Bravo]

Here is a name I don't believe we have seen in association yet.

Early days for Fisker, production of the Ocean One is scheduled for November.

View attachment 5371

Hi Evermont,

Fisker worked with a startup in Texas called 'Uhnder', who innovated the ICON digital radar in partnership with Magna. The system uses advanced military radar technology to enable precise image detection at more than 1,000 feet (about 300 m), continuously scanning to determine distance, height, depth and speed.

I wonder if BrainChip are involved in someway? I guess it wouldn't be too surprising considering BrainChip's links with DARPA and more recently with Information Systems Laboratories assistance in the development of an artificial intelligence technology meant to support the Air Force Research Laboratory’s radar projects.

Pure conjecture...

Nonetheless, looks pretty impressive!



This article states:

This proactive safety system of automated electronic sensors (radar, ultrasonic sensors, and cameras) and processing software continuously senses inputs, adds intelligence, and then engages when necessary to anticipate and prevent accidents.

The Fisker Ocean All-Electric SUV – LA Reveal For 17.1-Inch Rotating Revolve1 Screen

Fisker Inc. has officially revealed its Fisker Ocean SUV on the first media day of the Los Angeles Auto Show. One of the new features revealed is a 17.1-inch central high-resolution Revolve screen...

www.autofutures.tv

 

[Bravo]

Hi Evermont,

Fisker worked with a startup in Texas called 'Uhnder', who innovated the ICON digital radar in partnership with Magna. The system uses advanced military radar technology to enable precise image detection at more than 1,000 feet (about 300 m), continuously scanning to determine distance, height, depth and speed.

I wonder if BrainChip are involved in someway? I guess it wouldn't be too surprising considering BrainChip's links with DARPA and more recently with Information Systems Laboratories assistance in the development of an artificial intelligence technology meant to support the Air Force Research Laboratory’s radar projects.

Pure conjecture...

Nonetheless, looks pretty impressive!



This article states:

This proactive safety system of automated electronic sensors (radar, ultrasonic sensors, and cameras) and processing software continuously senses inputs, adds intelligence, and then engages when necessary to anticipate and prevent accidents.

The Fisker Ocean All-Electric SUV – LA Reveal For 17.1-Inch Rotating Revolve1 Screen

Fisker Inc. has officially revealed its Fisker Ocean SUV on the first media day of the Los Angeles Auto Show. One of the new features revealed is a 17.1-inch central high-resolution Revolve screen...

www.autofutures.tv

Oh, and rather curiously, edge computing is discussed in Fiskers 2020 Annual Report.

https://materials.proxyvote.com/Approved/33813J/20210412/AR_468005.PDF

 

[Fact Finder]

Here is one of the random doodles I made showing the relation of incoming beams impinging on the pixels of a light sensor. If you use, say, the central pixel (blue) as the reference, the angles of other beams can be determined precisely by the pixels each beam strikes.


View attachment 5379

(This is from one of the experiments I conducted with my Christmas laser pointer while I was endeavoring to watch the transit of Venus)
(I find sometimes the trees obscure one's view of the forest)

The probability of say three LiDAR sensors each receiving direct hits at exactly the same time where you have a majority decision making process also would need to be factored in to the associated risk of such an occurrence not that I could do the maths but as you add each sensor your initial odds of a direct hit are becoming factors less.

Something which I remembered from my dark and distant past when I had to learn all about the police radar in the event that I had to prosecute a defended case was that the reason the police radar operator was instructed to obtain a clear solid signal on the radar instrument for at least three seconds before a prosecution for a given exceed speed could be prosecuted was to overcome any possibility of interference of the type you are referring too.

I could try to explain it in greater detail but it is such a long time ago we are talking the 1970's when I did the training course it would get a bit messy but I know what I mean and trust you @Diogenese will immediately understand.

In the real world based upon this limited knowledge the likelihood of interference at greater distances causing a problem will be less than at shorter distances as many more pulses will be engaged at distance as the objects are becoming closer.

The amazing Brembo braking break through whereby stopping distances are dramatically reduced would be of assistance as it would allow more time on every occasion that there is a need to brake for the Lidar to send and receive many more pulses of light.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

Some interesting people in the Fisker team.

 

[Evermont]

They also have a dedicated Edge Computing Team @Bravo

 

[Deleted member 118]

 

[Stable Genius]

I had a quick look at Magna and they are linked with a lot of car manufactures. One would think a company of this size has taken a look at Brainchip and tested what it can do. I note Ford and TATA are amongst their customers. I do recall hearing/reading something about them previously but I’m still jogging my memory to remember where?


Global Customer Value

We have deep systems knowledge and supply 58 OEMs. Our products and systems are on two out of every three vehicles launched around the world through 2019 and Magna is the only automotive supplier in the world with expertise in the whole vehicle – from electronics to body to powertrain to complete vehicle manufacturing.

Click the selections below to view our list of customers around the world.

OEM
• Aston Martin
• BAIC Motor
• Beijing Automobile Works
• BMW
• Borgward
• Brilliance China
• BYD
• Canoo
• Changan Auto
• Chery
• CNH Industrial
• Cowin
• Daimler
• Dongfeng Honda
• Dongfeng Limited
• Dongfeng Motors
• Enovate
• FAW
• FAW Volkswagen
• Ferrari
• Fisker
• Force Motors
• Ford Motor
• Future Mobility
• GAC Honda
• GAC Motor
• GAC NIO
• GAZ
• Geely Group
• General Motors
• Great Wall Automobile
• Haima Zhengzhou
• Honda Motor
• Human Horizons
• Hyundai Motor
• INEOS
• Isuzu Motor
• Jianghuai
• Lixiang
• Lucid Motors
• Mahindra & Mahindra
• Mazda Motor
• McLaren Cars
• NIO
• Qoros
• Renault-Nissan-Mitsubishi
• Rivian Automotive
• SAIC Motor
• SAIC-GM-Wuling
• South-east Automobile
• Stellantis
• Subaru
• Suzuki Motor
• Tata
• Toyota Motor
• Vinfast
• Volkswagen
• WM Motor
• Xiaopeng

Cheers

 

[Stable Genius]

I’m trying to recall the name of the European AI advisory board to check if they were in that list which was pretty influential as they were trying to establish industry standards for adas cars but I can’t find them.

 

[Diogenese]

The probability of say three LiDAR sensors each receiving direct hits at exactly the same time where you have a majority decision making process also would need to be factored in to the associated risk of such an occurrence not that I could do the maths but as you add each sensor your initial odds of a direct hit are becoming factors less.

Something which I remembered from my dark and distant past when I had to learn all about the police radar in the event that I had to prosecute a defended case was that the reason the police radar operator was instructed to obtain a clear solid signal on the radar instrument for at least three seconds before a prosecution for a given exceed speed could be prosecuted was to overcome any possibility of interference of the type you are referring too.

I could try to explain it in greater detail but it is such a long time ago we are talking the 1970's when I did the training course it would get a bit messy but I know what I mean and trust you @Diogenese will immediately understand.

In the real world based upon this limited knowledge the likelihood of interference at greater distances causing a problem will be less than at shorter distances as many more pulses will be engaged at distance as the objects are becoming closer.

The amazing Brembo braking break through whereby stopping distances are dramatically reduced would be of assistance as it would allow more time on every occasion that there is a need to brake for the Lidar to send and receive many more pulses of light.

My opinion only DYOR
FF

AKIDA BALLISTA

3 seconds at 50 kph is about 41 metres. Or 80 metres at closing speed of 2 cars.

 

[Diogenese]

I’m trying to recall the name of the European AI advisory board to check if they were in that list which was pretty influential as they were trying to establish industry standards for adas cars but I can’t find them.

The European AI Alliance?

https://ec.europa.eu/futurium/en/eu-ai-alliance.html

 

[Stable Genius]

The European AI Alliance?

https://ec.europa.eu/futurium/en/eu-ai-alliance.html

Spot on, impressive as usual Dio!

I was lost down a different rabbit hole.

From memory the group had some organisations we were involved with so I’m thinking Valeo. Bosch was another.

I’ll see if I can find that list again.

If we could become the industry standard it would be beyond awesome; and there’s a possibility it could happen.

Cheers

 

[Fact Finder]

3 seconds at 50 kph is about 14 metres. Or 28 metres at closing speed of 2 car ... a cricket pitch plus Warnie's runup.

Let's hope radar has improved since the 70s.

Can radar improve?

Certainly the first reading was correct the three seconds was to allow for human error and to ensure they were tracking the correct vehicle within the beam as well as to allow for any initial or ongoing interference.

If they had put three operators side by side they most likely could have done away with the three seconds and gone with two out of three.

Some of the challenges early on were based on the idea that the then legal radar detector in the offending vehicle had caused a false reading however those attempts were unsuccessful.

Also at 200 metres there are quite a few cricket pitches before the need to brake in the event that it has detected a brick wall across the road arises.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Diogenese]

Can radar improve?

Certainly the first reading was correct the three seconds was to allow for human error and to ensure they were tracking the correct vehicle within the beam as well as to allow for any initial or ongoing interference.

If they had put three operators side by side they most likely could have done away with the three seconds and gone with two out of three.

Some of the challenges early on were based on the idea that the then legal radar detector in the offending vehicle had caused a false reading however those attempts were unsuccessful.

Also at 200 metres there are quite a few cricket pitches before the need to brake in the event that it has detected a brick wall across the road arises.

My opinion only DYOR
FF

AKIDA BALLISTA

There have been enormous improvements in radar over the last 50 years.
https://www.pasternack.com/t-Radar-Technology-Advancements-and-New-Applications.aspx

ULTRA-WIDE BANDWIDTH MILLIMETER WAVE RADAR

To avoid the spectrum congestion at lower microwave frequencies, and to achieve high-precision and high resolution capabilities many applications have moved beyond 20 GHz. Fortunately, at millimeter wave frequencies there are several frequency bands that are designated with 0.5 GHz, 1 GHz and even 4 GHz of available bandwidth. Radiation at millimeter wave frequencies tends to suffer higher atmospheric losses, but is more directional than at sub-6 GHz microwave frequencies. Millimeter wave radars benefit from reduced noise, greater resolution due to ultra wide bandwidths, and reduced size.8

Many of the latest automobile radars leverage the 79 GHz millimeter wave frequency band that can penetrate sufficiently in adverse conditions, such as fog, dust and rain that are impenetrable by optical sensors (see Figure 2). Operation in this band also enables increased resolution and better hazard detection features. The benefits of millimeter wave radar translate to other applications as well, including detection and surveillance of UAS/drones and even medical monitoring. For example, multi-channel radar for perimeter surveillance (MCRPS) and scanning surveillance radar systems (SSRS) using FMCW principals, with 1 GHz of bandwidth and 100 mW at 94 GHz, have been used to achieve 15 cm range resolution and classification of UAS/drones based on their rotor typologies. Also, 24 GHz band radar has been used in remote heart rate monitors able to discriminate and characterize a heartbeat accurately and efficiently with less than 7.17 ms of RMS error.9

 

[Fact Finder]

There have been enormous improvements in radar over the last 50 years.
https://www.pasternack.com/t-Radar-Technology-Advancements-and-New-Applications.aspx

ULTRA-WIDE BANDWIDTH MILLIMETER WAVE RADAR

To avoid the spectrum congestion at lower microwave frequencies, and to achieve high-precision and high resolution capabilities many applications have moved beyond 20 GHz. Fortunately, at millimeter wave frequencies there are several frequency bands that are designated with 0.5 GHz, 1 GHz and even 4 GHz of available bandwidth. Radiation at millimeter wave frequencies tends to suffer higher atmospheric losses, but is more directional than at sub-6 GHz microwave frequencies. Millimeter wave radars benefit from reduced noise, greater resolution due to ultra wide bandwidths, and reduced size.8

Many of the latest automobile radars leverage the 79 GHz millimeter wave frequency band that can penetrate sufficiently in adverse conditions, such as fog, dust and rain that are impenetrable by optical sensors (see Figure 2). Operation in this band also enables increased resolution and better hazard detection features. The benefits of millimeter wave radar translate to other applications as well, including detection and surveillance of UAS/drones and even medical monitoring. For example, multi-channel radar for perimeter surveillance (MCRPS) and scanning surveillance radar systems (SSRS) using FMCW principals, with 1 GHz of bandwidth and 100 mW at 94 GHz, have been used to achieve 15 cm range resolution and classification of UAS/drones based on their rotor typologies. Also, 24 GHz band radar has been used in remote heart rate monitors able to discriminate and characterize a heartbeat accurately and efficiently with less than 7.17 ms of RMS error.9

Hi @Diogenese
Can you not hear me thinking aloud what I was referring to is the speed at which the radar transmission moves through the air over a given distance has that changed?
FF.

AKIDA BALLISTA

 

[Fact Finder]

Hi @Diogenese
Can you not hear me thinking aloud what I was referring to is the speed at which the radar transmission moves through the air over a given distance has that changed?
FF.

AKIDA BALLISTA

Also the return speeds after detecting the object have they improved? FF

 

[Diogenese]

Hi @Diogenese
Can you not hear me thinking aloud what I was referring to is the speed at which the radar transmission moves through the air over a given distance has that changed?
FF.

AKIDA BALLISTA

Just like Warnie's flipper/doozera, you'd be surprised.

See this from the venerable Daily Mail:
https://www.dailymail.co.uk/science...w-theory-completely-change-view-universe.html

Was Einstein WRONG about the speed of light? New theory could completely change our view of the universe​

• Albert Einstein believed the speed of light was constant in a vacuum
• This constant has formed the basis of many theories in modern physics
• But the model of inflation leaves a conundrum called the Horizon Problem
• Physicists believe that light may have travelled faster in the early universe, before slowing to present levels, which could be tested with observations

 

[Fact Finder]

Just like Warnie's flipper/doozera, you'd be surprised.

See this from the venerable Daily Mail:
https://www.dailymail.co.uk/science...w-theory-completely-change-view-universe.html

Was Einstein WRONG about the speed of light? New theory could completely change our view of the universe​

• Albert Einstein believed the speed of light was constant in a vacuum
• This constant has formed the basis of many theories in modern physics
• But the model of inflation leaves a conundrum called the Horizon Problem
• Physicists believe that light may have travelled faster in the early universe, before slowing to present levels, which could be tested with observations

Hi @Diogenese
I actually read about that in a more credible place than the Daily Mail a little while back and it was saying that this was still very much a theory and at this point in time Einstein has not yet been shown to be wrong. Then again Einstein was working in a second vacuum being the time frame of his own existence and to that extent his measurement of the speed of light as a constant may always be correct within those two vacuums. It is all relative after all.

So I think from this you are saying to me that the speed of a radar signal everything else being equal is still the same as it was 50 years ago. I will ignore its speed 5 billion years ago.

The improvements that have occurred as to narrower bandwidth etc; have improved accuracy and security but not the amount of time needed to send and receive the information from which the presence of an object can be detected and identified.

The need which AKIDA technology is addressing is the latency involved between the receipt of the return signal and the processing of same into actionable meta data. By doing this right at the sensor the optimum time taken is achieved.

Or am I completely wrong?

My opinion only DYOR
FF

AKIDA BALLISTA
PS: That linked article was very interesting and filled in some gaps that I had regarding the later radar and now LiDAR systems being used by the Police. Many thanks.

 

[Taproot]

I had a quick look at Magna and they are linked with a lot of car manufactures. One would think a company of this size has taken a look at Brainchip and tested what it can do. I note Ford and TATA are amongst their customers. I do recall hearing/reading something about them previously but I’m still jogging my memory to remember where?


Global Customer Value

We have deep systems knowledge and supply 58 OEMs. Our products and systems are on two out of every three vehicles launched around the world through 2019 and Magna is the only automotive supplier in the world with expertise in the whole vehicle – from electronics to body to powertrain to complete vehicle manufacturing.

Click the selections below to view our list of customers around the world.

OEM
• Aston Martin
• BAIC Motor
• Beijing Automobile Works
• BMW
• Borgward
• Brilliance China
• BYD
• Canoo
• Changan Auto
• Chery
• CNH Industrial
• Cowin
• Daimler
• Dongfeng Honda
• Dongfeng Limited
• Dongfeng Motors
• Enovate
• FAW
• FAW Volkswagen
• Ferrari
• Fisker
• Force Motors
• Ford Motor
• Future Mobility
• GAC Honda
• GAC Motor
• GAC NIO
• GAZ
• Geely Group
• General Motors
• Great Wall Automobile
• Haima Zhengzhou
• Honda Motor
• Human Horizons
• Hyundai Motor
• INEOS
• Isuzu Motor
• Jianghuai
• Lixiang
• Lucid Motors
• Mahindra & Mahindra
• Mazda Motor
• McLaren Cars
• NIO
• Qoros
• Renault-Nissan-Mitsubishi
• Rivian Automotive
• SAIC Motor
• SAIC-GM-Wuling
• South-east Automobile
• Stellantis
• Subaru
• Suzuki Motor
• Tata
• Toyota Motor
• Vinfast
• Volkswagen
• WM Motor
• Xiaopeng

Cheers

Maybe something like this ?

Nviso + Seeing Machines

NVISO and Seeing Machines to Bring Human Behaviour AI to Automotive World

NVISO and Seeing Machines to demonstrate Advanced Driver Monitoring System for detecting Driver Emotion at AI Expo 2020 in Tokyo, Japan

www.nviso.ai

Seeing Machines + Magna

Seeing Machines and Magna collaborate on fully integrated driver monitoring and mirror solution

Seeing Machines, an Australia-based advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, has collaborated with automotive Tie…

www.automotiveinteriorsworld.com

Magna are 3rd largest Auto supplier behind Bosch and Denso
I think there would be many dots you could pursue to put Magna in the mix.
That's why everyone keeps using "Akida" and "Ubiquitous" in the same sentence

 

[Deleted member 118]

Maybe something like this ?

Nviso + Seeing Machines

NVISO and Seeing Machines to Bring Human Behaviour AI to Automotive World

NVISO and Seeing Machines to demonstrate Advanced Driver Monitoring System for detecting Driver Emotion at AI Expo 2020 in Tokyo, Japan

www.nviso.ai

Seeing Machines + Magna

Seeing Machines and Magna collaborate on fully integrated driver monitoring and mirror solution

Seeing Machines, an Australia-based advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, has collaborated with automotive Tie…

www.automotiveinteriorsworld.com

Magna are 3rd largest Auto supplier behind Bosch and Denso
I think there would be many dots you could pursue to put Magna in the mix.
That's why everyone keeps using "Akida" and "Ubiquitous" in the same sentence

The First 4D Imaging Radar-on-a-Chip Developed by Texas-based Startup 'Uhnder' Will Debut on Vehicles in 2022

Austin, Texas-based digital radar startup Uhnder, a developer of 4D imaging radar technology for automotive and next-generation mobility applications, will soon become the first company to mass produce an automotive-grade, 4D digital imaging radar-on-chip to support next-generation advanced...

m.futurecar.com

Magna International Acquires Optimus Ride Engineering Team

Magna, a major automotive technology supplier, has acquired self-driving shuttle developer Optimus Ride and will add its employees to its driver-assist efforts.

www.robotics247.com