Member Info for johnchucka

Is this one of the Chinese companies that Smart Eye are dealing with?

5mins in AV activated

https://www.youtube.com/watch?time_continue=303&v=rCFRlmnLRco

also spot the odd one out here listed 'Companies Already Signed Up for 2018'

https://automotive.knect365.com/tu-auto-detroit/

Dr Bryan Reimer's Lecture 'Robot in my drivay?' CAPE, University of Cambridge Lecture, 8.May 2018

https://www.youtube.com/watch?v=yFKmiGtcGRw&feature=youtu.be

GM Supercruise mentioned @19min
and 59min in a Statement about GM Supercruise having the lead in Multi modal feed back from Haptic/gesture/voice and the need to combine these together with Vision being the primary channel which is interesting as Affectiva have a huge data base of gestures and partner many of the same companies that SEE have relationships with also.

His positive opinion of GM's approach may also be pertinant in relation to his work Toyota as Agelab MIT .

http://news.mit.edu/2017/mit-agelab-researching-autonomous-vehicle-system-in-ongoing-collaboration-with-toyota-0608

https://deeplyai.com/5-questions-with-rana-el-kaliouby-9fc848f8a098

Where do you see AI in five years?
Over the next five years, AI will enable increasingly personalized and relational interactions between people and technology. For consumers, this means more engaging digital experiences, and for brands, AI can be a big differentiator when it comes to the customer experience.
Take the automotive industry. What differentiates one auto brand from the next? A lot of it has to do with the customer experience in the car. With AI, rather than being just a mode of transportation, cars are becoming conversational interfaces between the driver, passengers and vehicle itself. Cars will monitor passengers’ cognitive state for two things, the first being driver safety, which includes their level of distractedness, drowsiness, road rage, etc. The second is for personalization of the in-cabin experience, which means analyzing thoughts and feelings, so that the car can tailor things like infotainment, route recommendations, temperature control and more, according to the passenger’s preferences.
It doesn’t stop there. The auto industry’s focus on AI is particularly pertinent as semi-autonomous and fully autonomous vehicles come to the fore. Specifically, AI’s role in solving the “hand-off” challenge. An autonomous’ vehicles AI will have to decide when a “hand-off” should take place to pass control between the vehicle and a human driver. For Level 3 and Level 4 vehicles, this decision will be a matter of life or death. The decision will be made using computer vision and multi-modal AI that is measuring a person’s facial expressions, voice, gestures, body language and more, to ensure the driver is awake, alert and engaged.

With AI, rather than being just a mode of transportation, cars are becoming conversational interfaces between the driver, passengers and vehicle itself.

That Junko Yoshida article again;

https://www.eetimes.com/document.asp?doc_id=1333236&page_number=1

'Huge increase in inquiries
Today, the auto industry’s appetite for DMS technology is real, according to Gabi Zijderveld, CMO at Affectiva, an MIT spin-out working on the technology called “multi-modal in-cabin AI sensing solution.”

Affectiva has built up expertise in analyzing mental and emotional states by reading people’s faces and voices (“not only what they say, but how they say it”). “We have been working with a number of Fortune 500 companies and advertising agencies to decipher consumers’ reactions to video, advertising, and TV programming over the last nine years,” explained Zijderveld. Car OEMs and Tier Ones — “all the luxury brands you can think of,” she said — originally turned to Affectiva to understand the mood of passengers and drivers toward robo-taxis. Describing an automotive industry “under existential threat” from drastically changing business models (i.e., ride-sharing, robo-taxis) and the emergence of software-driven vehicles, Zijderveld told us that carmakers felt pressed to understand customers and protect their brands.

But about 18 months ago, something changed.

Affectiva began noticing a “huge increase” in carmaker inquiries. They started to ask Affectiva if its technology can be used for “driving monitoring.” Zijderveld said, “They were asking if our technology can detect ‘driving impairment,’ ‘alcohol influence,’ ‘stressed,’ ‘fatigued,’ ‘nausea,’ etc. We said, ‘yes’ to all of these questions.”

Human machine interface company with interesting 'we are currently working with' list.

http://go.affectiva.com/auto

https://www.youtube.com/watch?time_continue=39&v=PnFezqp_2e4

Bryan Reimer Here to'

https://www.eetimes.com/document.asp?doc_id=1333236&page_number=3

Wonder why they did not put Eye tracking tech in?

That's the same Bryan Reimer that's quoted in this article;

Autoliv, MIT join forces in autonomous vehicle research

http://www.eenewsautomotive.com/news/autoliv-mit-join-forces-autonomous-vehicle-research

This Article suggests the Driver monitoring that Uber are using is not SEE but a head position monitor.

https://www.wired.com/story/self-driving-crash-uber-revamps-testing/

“This is a a responsible, reasonable move to fall closer in line with others who are testing in the area,” says Bryan Reimer, who studies human-machine interaction at MIT. The head monitoring system is “a major step in the right direction,” he says, but notes Uber should also consider an eye-tracking setup. He and his colleagues have found that what a driver’s eyes are doing—staring at the horizon versus scanning the road—is the best predictor of whether they are actually paying attention.

A Broad Look Into Autonomous Vehicles
Abrar Hassan Saadi

https://seekingalpha.com/author/abrar-hassan-saadi/articles#regular_articles

Summary;
A major shapeshift is underway in consumers' sentiment towards self-driven cars.
A dramatic decline in disengagements indicates that improvements are happening faster.
My model attempts to estimate potential value of the autonomous vehicle market.

Fully self-driven cars have a long way to go. But just like innovation in other fast-paced industries driven by exponential organizations, once growth starts to pick up, it skyrockets through a fast-paced phase to totally different levels. History has proven that growth by exponential organizations (exo) were far ahead than analyst estimates. Exo have disproportionate impact in terms of leveraging accelerated technology. The autonomous vehicle manufacturers have the capacity to become exponential organizations where growth will march exponentially. Be prepared, and don’t forget to allocate a portion of your portfolio towards the emerging dominant technologies for long-term growth. That’s how wealth is built.

https://www.eetimes.com/document.asp?doc_id=1333511&cid=SM_ELE_EET_Edit&_mc=sm_eet_editor_junkoyoshida

'Meanwhile, Uber is returning to Pittsburgh by “starting with cars in manual mode,” according to a Medium post on Tuesday. Uber’s autonomous cars will be driven manually by the company’s newly branded “mission specialists” for the purposes of data collection and map updates, wrote Eric Meyhofer, head of Uber’s Advanced Technologies Group, in his post.'

I had not acknowledged the 'starting with cars in manual mode' element to the Uber story. .which does push it into Guardian territory and perhaps is comparable to the baseline data gathering process SEE use in fleets prior to going live.

Thanks Hyms, I did not realise that 2 people was standard practice.
I expect they're not using guardian because of their less than Gold standard safety as you point out and also because neither Guardian or Fovio were designed for this type of application and as such if used SEE risk unwelcome potential brand damaging association.

Interesting how Uber have had to put 2 'mission specialists' in. I wonder if SEE is involved here if that was on their insistence as with the numbers being small atm and with UBER showing some seriously poor judgement and over confidence , the potential PR risk of working with untrained un prepared 'mission specialists' was not worth the risk compared with their usual Guardian client who is a qualified HGV/COACH driver with a much higher degree of road experience.

'Uber says that specially-trained "mission specialists" will be behind the driver seat in all cases; those drivers will be in control of their cars at all times. A second specialist will sit shotgun, recording any "notable events." While it may not be immediately obvious how having manual drivers helps the self-driving program, Uber notes that it lets them visualize more scenarios its vehicles will encounter in real time. Those interactions are recreated in a virtual world and in test tracks to improve self-driving performance.It also helps Uber add more detail to its maps.
Furthermore, Uber has made a number of changes since the accident, including a real-time driver monitoring system. This makes sure that the mission specialists are paying full attention to the road and their surroundings. If the system notices a driver who isn't paying attention, an audio alert sounds and the system also contacts a remote monitor who can intervene (although Uber wasn't specific on exactly what the remote monitors could do aside from taking "appropriate action").

Interesting video about Data collection and Flight safety. Not watched it all yet but sounds relevant to SEE.

GE Aviation uses flight data to make the aviation industry safer and more efficient

https://www.youtube.com/watch?v=RUFDtTTuhIo

Semicast Research
‏
@semicast_res
23m
23 minutes ago

LSE posters: Your views of the future are as valid as mine. Debate don’t destroy. DO NOT make references to my family. EVER. I write in a professional capacity. A formal complaint has been made to LSE.

Junko Yoshida Chief International Correspondent @ eetimes obviously believes Semicast know what they are talking about.

https://twitter.com/junkoyoshida
https://www.eetimes.com/

https://www.eetimes.com/document.asp?doc_id=1333236&page_number=2

Semicast Research’s Barnden ranks Seeing Machines high among its DMS competitors, largely because of the Australian company’s years of experience with its Driver Safety System (DSS) initially used in the mining industry. Caterpillar thinks so highly of Seeing Machine’s DSS that it took responsibility for manufacturing, marketing, and selling Seeing Machines’ rugged DSS off-road product in 2015.

Human factors and cockpit design.

http://aviationweek.com/farnborough-airshow-2018/ge-aviation-highlighting-open-flight-deck-concept-farnborough

http://www.ivision-project.eu/dissemination/b.-conference-presentations

https://www.youtube.com/watch?v=a9drbtAdxeo (Airbus)

Glad to see you think your interpretation skills have improved since the illuminating seeingtom/Alex8 10,000 debate. LOL

With your track record on calling things incorrectly Alex, I take your position on the non adoption of SEE type DMS as an encouraging indicator that it will be.

The Data shows Coffee cups etc don't work and don't change behaviour in the most thick as sheeett group..young people. This along with years of regulators ambitions being compromised by industry and the carnage only getting worse, now is the time I believe with effective DMS tech available they will make a decisive decision to mandate Eye tracking DMS. That on it's own is only one piece of the picture. The development of Eye tracking systems are also important in the tech drive towards AV, which is why we are seeing huge demand for SEE tech.

If the Regulators don't take this opportunity to mandate at this juncture they really are as dumb as the texting while driving idiots they say they want to protect.

The casualty numbers are staring them in the face;

'Data from the Department for Transport release last year showed that the number of people killed in accidents where the use of a mobile phone was a contributory factor rose by 59 per cent from 22 to 35 between 2015 and 2016, and those seriously injured jumped from 99 to 137 (38 per cent rise)'.

https://www.warwickcourier.co.uk/cars/car-news/shocking-last-text-campaign-highlights-dangers-of-mobile-use_98f4a03c09dabea1c1f040ef87c08af5/