Member Info for johnchucka

Soulboy, I'm no expert either by long way as I will demonstrate by trying to give you my answer .What I believe to be happening here is Toyota aligning SEE tech identified as a 'Eye Gaze Monitor' in the 'description' with various other technologies , so the synergies build on available tech into another distinct or novel way of using the mix of technologies which is then determined as new IP and thus Patentable.
Thats my understanding. Hopefully TLS will be able to confirm or clarify or Trash what I have just said so we can all get further insight into Patents

VEHICLE SYSTEMS AND METHODS FOR DETERMINING A TARGET BASED ON A VIRTUAL EYE POSITION AND A POINTING DIRECTION
Vehicle systems and methods for determining a target position are disclosed. A vehicle includes a user detection system configured to output a gesture signal in response to a hand of a user performing at least one gesture to indicate a final target position. The vehicle also includes a user gaze monitoring system configured to output an eye location signal that indicates an actual eye position of the user. The vehicle also includes one or more processors and one or more non-transitory memory modules communicatively coupled to the processors. The processors store machine-readable instructions that, when executed, cause the one or more processors to determine a first point and a second point located on the hand of the user based at least in part on the gesture signal from the user detection system. The first point and the second point define a pointing axis of the hand of the user.
https://worldwide.espacenet.com/publicationDetails/biblio?II=4&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190725&CC=US&NR=2019228243A1&KC=A1#

SYSTEM AND METHOD FOR ADAPTIVE PERCEPTION IN A VEHICLE
System, methods, and other embodiments described herein relate to selectively processing sensor data to perceive aspects of a surrounding environment of a vehicle. In one embodiment, a method includes, in response to identifying attributes of the surrounding environment from sensor data of one or more sensors, selecting a perception technique from a plurality of perception techniques according to a human-based perception model that correlates the plurality of perception techniques with the attributes to identify which of the plurality of perception techniques efficiently process the sensor data. The method includes analyzing the sensor data using the perception technique to perceive characteristics of the surrounding environment that pertain to autonomously controlling the vehicle. The method includes autonomously controlling the vehicle according to the characteristics to navigate through the surrounding environment.
https://worldwide.espacenet.com/publicationDetails/biblio?II=2&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190725&CC=US&NR=2019227549A1&KC=A1#

SYSTEMS AND METHODS FOR IDENTIFYING HUMAN-BASED PERCEPTION TECHNIQUES
System, methods, and other embodiments described herein relate to identifying human-based perception techniques for analyzing a driving scene. In one embodiment, a method includes generating the driving scene as a simulated environment of a vehicle. The method includes modifying the simulated environment according to a visualization algorithm that approximates a machine vision technique to transform the simulated environment into a modified environment with redacted information in comparison to the simulated environment. The method includes displaying the modified environment on an electronic display to an operator to assess how the operator perceives the modified environment when operating the vehicle.
https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190725&CC=US&NR=2019228118A1&KC=A1#

VEHICLE SYSTEMS AND METHODS FOR DETERMINING A TARGET BASED ON A VIRTUAL EYE POSITION
Vehicle systems and methods for determining a target position that a user is gesturing towards are disclosed. In one embodiment, a vehicle includes a user detection system configured to output a gesture signal in response to a hand of the user performing at least one gesture to indicate a target position, a user gaze monitoring system configured to output an eye location signal, one or more processors, and one or more non-transitory memory modules communicatively coupled to the one or more processors. The memory modules store machine-readable instructions that, when executed, cause the one or more processors to determine a point located on the hand of the user based at least in part on the gesture signal from the user detection system. The processors are also caused to determine an actual eye position of the user based on the eye location signal from the user gaze monitoring system.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190725&CC=US&NR=2019228242A1&KC=A1#

VEHICLE SYSTEMS AND METHODS FOR DETERMINING A TARGET BASED ON SELECTING A VIRTUAL EYE POSITION OR A POINTING DIRECTION
Vehicle systems and methods for determining a final target position based on either a first target position and a second target position are disclosed. A vehicle includes a user detection system configured to output a gesture signal in response to a hand of a user performing at least one gesture to indicate a final target position. The vehicle also includes a user gaze monitoring system configured to output an eye location signal that indicates an actual eye position of the user. The vehicle also includes one or more processors and one or more non-transitory memory modules communicatively coupled to the processors. The processors store machine-readable instructions that, when executed, cause the one or more processors to select either the first target position or the second target position as the final target position based on a first accuracy and a second accuracy.
https://worldwide.espacenet.com/publicationDetails/biblio?II=1&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190725&CC=US&NR=2019227635A1&KC=A1#

Alexander Robinson

@alexanderaviate
·
4m

Alexander Robinson@alexanderaviate

Thanks, HF Professionals Forum, for inviting me to present on
@seeingmachines
Crew Training System and the benefits it can deliver when integrated with HUD. Really cool seeing
@Qantas Head Office!

Authorized remote control

Vehicle 100 includes a set of one or more internal sensors 114, also referred to as sensor devices 114, which can monitor one or more aspects of the vehicle 100 interior. Such sensors can include camera devices, including one or more visible light cameras, infrared cameras, near-infrared cameras, depth cameras which can include one or more light-scanning devices including LIDAR devices, some combination thereof, etc. configured to collect image data of one or more occupants in the vehicle interior, control element sensors which monitor operating states of various driving control interfaces 115 of the vehicle, chemical sensors which monitor the atmosphere of the vehicle interior for the presence of one or more chemical substances, some combination thereof, etc. One or more of internal sensor devices 114 can generate sensor data. Sensor data generated by one or more internal sensor devices 114 can be communicated to VNS 110, where the input data can be used by the VNS 110 to determine a health state of one or more occupants of the vehicle 100 interior. In some embodiments, one or more sensors 114 generate sensor data regarding one or more particular positions within the vehicle interior, and sensor data generated by the sensors 114 can be used by the VNS to determine whether one or more occupants located in one or more particular positions in the vehicle interior is associated with an emergency health state. The VNS 110 can continuously monitor the health state parameters associated with occupants of the vehicle interior. In some embodiments, VNS 110 is configured to monitor health state parameters of human individuals located external to the vehicle within a certain proximity distance of the vehicle, based on processing sensor data generated by one or more sensor devices 113.

The sensors 114 can generate data which can be processed by VNS 110 to determine one or more parameters associated with the occupant's health, including occupant pupil dilation, blinking body temperature, heartbeat, perspiration, head position, etc. Such parameters can be referred to as health state parameters of the occupant. VNS 110 can process the parameters and determine a “health state” of the occupant, including a “drowsy state”, “intoxicated state”, cognitively impaired state”, “emergency health state”, etc., based on comparing one or more of the health state parameters against one or more health state parameter threshold values associated with the one or more particular health states.

https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=10328897B1&KC=B1&FT=D&ND=3&date=20190625&DB=&locale=en_EP#

9
Harish R Ramalingam
Lead Software Engineer at Seeing Machines
https://www.linkedin.com/in/harishrramalingam/

The Next Steps to Scale Start in San Francisco
https://medium.com/cruise/the-next-steps-to-scale-start-in-san-francisco-713315f3a142

Manager - Automotive Projects & Functional Safety | Canberra, ACT
https://seeingmachines.springboard.com.au/jobs/Canberra,%20ACT/SM-2018001

HK buses to be equipped with anti-drowsiness systems
https://www.bangkokpost.com/world/1668600/hk-buses-to-be-equipped-with-anti-drowsiness-systems

Semicast Research@semicast_res
For Euro NCAP, DMS DWs from VAG, PSA, Renault, BMW, Fiat, Ford and Daimler will decide it. Together these OEMs are ~75% of European light vehicle sales.

Semicast Research@semicast_res
Semicast Research Retweeted
It’s a long read, but this paper helps highlight the necessity of human factors research in DMS. First models featuring this tech to be launched at Frankfurt IAA in September. Media will see how it works then.

https://digital.lib.washington.edu/researchworks/bitstream/handle/1773/42254/Miller_washington_0250E_18694.pdf?sequence=1&isAllowed=y
https://twitter.com/EricPaulDennis/status/1152791637145325568

Indeed but even with the very measured language we got to 14p with the wind at our backs. It was imo only when we were torpedoed by Fleet revenue news that we sunk.

My understanding of the computer techy world is very limited but I do come across things occasionally that might mean more to those who are more clued up.

Colin Thomsen
Director, Computer Vision at Seeing Machines
https://www.linkedin.com/in/colinthomsen/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAD7w_EB-NqbfGTgjFyDpFb-CgLCW9h47KU

Toyota partners with Microsoft on new data science company, Toyota Connected.
'Connected cars have been a growing trend for years, and the 2016 CES was evidence that connected cars, telematics, and autonomous vehicles are moving to the forefront in the automotive industry. At the event, major manufacturers such as Volvo, GM, Ford, Nissan, and Toyota announced their plans for embracing the trend. At the time, Toyota announced that it was going to adopt Ford's SmartDeviceLink (SDL) platform for connecting mobile apps in the car'.
The announcement of Toyota Connected is a big win for Microsoft, which has been positioning itself as a key partner for some of the major manufacturers in the connected car space. At CES, Volvo, Nissan, Harman, and IAV all revealed new partnerships with Microsoft.

https://www.techrepublic.com/article/toyota-partners-with-microsoft-azure-on-new-data-science-company-toyota-connected/
https://news.microsoft.com/2017/03/22/microsoft-announces-patent-license-agreement-toyota-enhancing-connected-car-experience-consumers/

Thanks S2020. The importance of a detailed and positive Fleet report cannot be over emphasised. It will really be the decider on the size of Lewbo's Boat.

So you would not subscribe to the argument that the telematics contracts could actually put a drag or be cost neutral on Fleet revenues by being front loaded?. I'm interpreting from your answer that you view the Telematics Surge as being cashflow positive especially now as Fatigue monitoring technology has more leverage with regulation turning the ugly ducking to the Swan or at least a nice looking Goose in the Telematics world.

Thanks Redindi..great summary.
With what looks like a grand lurch into the Telematics market has any one got a view on the costs/ revenue ratio/structure of getting Guardian into these boxes? Will SEE be paid to put tech in or the other way round?

On the road to autonomy, the crucial role of FPGA – Interview with Willard Tu is a Senior Director at Xilinx who has been known to 'like a Mr Big4 Linked-in post or two.
https://www.i-micronews.com/on-the-road-to-autonomy-the-crucial-role-of-fpga-interview-with-xilinx/?cn-reloaded=1

https://www.linkedin.com/in/willard-tu-87689a/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAAhgVoBJBR7gUcCOgquqzBhbLgHFHRuho8

Continental relies on Xilinx expertise for auto-driving computer platform
At CES 2018, automotive supplier Continental will be presenting a computing platform for automated driving and processing huge amounts of data. The platform, developed in close cooperation with FPGA heavyweight Xilinx, offers flexibility and adaptability to the changing market requirements for automated driving, such as machine learning, sensor technology and configuration.
The Assisted & Automated Driving Control Unit enables customers to introduce automated driving to the market faster because it is based on the Open Computing Language (OpenCL) interface of the Khronos Group, an industry consortium committed to creating open standards in the multimedia sector. The platform offers heterogeneous data processing with a main processor (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), a digital signal processor (Digital Signal Processor, DSP) and now also with Field Programmable Gate Array (FPGA) in cooperation with Xilinx. This enables developers to optimize their software with the appropriate processing engine or to create their own hardware accelerators with the programmable logic of Xilinx. The result is the greatest possible freedom in performance optimization with the lowest latency and low power dissipation without having to forego the possibility of freely shifting software algorithms via the integrated chips.

https://www.eenewsautomotive.com/news/continental-relies-xilinx-expertise-auto-driving-computer-platform

IMO/total IKN Guess -1/2/3/5/6/7/8 came over early as senior people to establish a Conti/SEE team. Then Mr Big 4 who has been running the show makes his move. He has worked for Visteon/Ford for 10years and Conti for 20. Now as development timelines move into near view focus he joins a small Australian company as VP Automotive .