Member Info for johnchucka

BLENDED AUTONOMOUS DRIVING SYSTEM (Blended, a term used by Toyota to describe Guardian/Chauffeur system. Guardian for all ?)
Methods, systems, and computer program products for blended autonomous driving are presented. Aspects include receiving vehicle environment data associated with a vehicle. Driver data associated with a driver of the vehicle is received and analyzed to determine a driver alertness level. The vehicle environment data is analyzed to identify a potential event and a first action for the potential event is initiated based on a determination that the driver alertness level is below a threshold.

[0025] In one or more embodiments, the vehicle environment data 206 can be collected from sensors on or around a vehicle. Any type of sensor can be used to collect the vehicle environmental data 206 including, but not limited to, cameras, LIDAR, sonar sensor, Doppler effect sensors, and the like. In one or more embodiments of the invention, the driver assistance system 212 can control the sensors and communicate the vehicle environment data 206 to the controller. In one or more embodiments of the invention, the controller 202 receives the vehicle environment data 206 and creates an integrated information layer that represents the driving related environment surrounding the vehicle. This layer can be referred to as the autonomous driving layer (ADL). The driver data 204 can be collected from sensors including cameras that detect and track a driver's gaze. In one or more embodiments of the invention, an array of cameras can be utilized to determine the direction of the driver's gaze, the three dimensional (3D) positioning of the driver's eyes within the cabin of the vehicle, and any obstructions to the driver's gaze in the plane of the windshield of the vehicle. From this driver data 204, the controller 202 can calculate an ideal vision cone for the driver and subtracts obstructions allowing for an estimate of the driver's awareness (alertness). This vision cone subtracting out obstructions can be referred to as the driver awareness level (DAL).

[0026] In one or more embodiments of the invention, by taking a geometric intersection of the autonomous driving layer (e.g., vehicle environment data 206) and the vision cone for the driving in the driver awareness level, the controller 202 can generate vehicle referenced patch containing a subset of entities which both the driver assistance system 212 and the human driver are likely aware of. For example, the vehicle environment data 206 might show a stop sign in front of the vehicle. By intersecting the driver's vision cone (taken from the gaze detection) with the vehicle environment data 206, the controller 202 can determine that the driver is aware of the stop sign as it is in the driver's field of vision.

Also see points 27/29/30

https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2019389455A1&KC=A1&FT=D&ND=3&date=20191226&DB=&locale=en_EP#

https://www.investegate.co.uk/toyota-motor-corpn--tyt-/rns/changes-in-management/202003250800024823H/

Patent Family
The image at the bottom of the 'Biographical Data' page has changed for the SEE patent METHOD AND APPARATUS FOR EYE DETECTION FROM GLINTS dated 2020-02-04 from a block diagram to a fella with protective/safety glasses and a mask.
https://worldwide.espacenet.com/publicationDetails/inpadocPatentFamily?CC=US&NR=2016210497A1&KC=A1&FT=D&ND=9&date=20160721&DB=&locale=en_EP

https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=9&adjacent=true&locale=en_EP&FT=D&date=20160721&CC=US&NR=2016210497A1&KC=A1#

INWARD/OUTWARD VEHICLE MONITORING FOR REMOTE REPORTING AND IN-CAB WARNING ENHANCEMENTS
Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020055992A1&KC=A1&FT=D&ND=4&date=20200319&DB=&locale=en_EP#

http://www.freepatentsonline.com/20200090396.pdf

IN-FLIGHT ADAPTIVE FOVEATED RENDERING
A method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to receive information indicative of a fovea region. The apparatus may be configured to identify, based on the information indicative of the fovea region, high priority bins and low priority bins. The apparatus may be configured to determine a rendering time allotment for the frame. The apparatus may be configured to determine that the rendering time allotment for the frame will be exceeded, based on an amount of time used to render the high priority bins and the low priority bins. The apparatus may be configured to render, based on the determination that the rendering time allotment for the frame will be exceeded, at least one of the low priority bins at a first quality instead of a second quality.
https://patents.justia.com/patent/20200090396

SYSTEM AND METHOD FOR FOVEATED COMPRESSION OF IMAGE FRAMES IN A SYSTEM ON A CHIP
An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.
https://worldwide.espacenet.com/publicationDetails/biblio?II=37&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200319&CC=US&NR=2020092564A1&KC=A1#

SYSTEMS AND METHODS FOR CAPTURING TRAINING DATA FOR A GAZE ESTIMATION MODEL
A method of training a gaze estimation model includes displaying a target image at a known location on a display in front of a subject and receiving images captured from a plurality of image sensors surrounding the subject, wherein each image sensor has a known location relative to the display. The method includes determining a reference gaze vector for one or more eyes of the subject based on the images and the known location of the target image and then determining, with the model, a gaze direction vector of each of the one or more eyes of the subject from data captured by an eye-tracker. The method further includes determining, with the model, an uncertainty in measurement of the gaze direction vector and an error between the reference gaze vector and the gaze direction vector and providing feedback based on at least one of the uncertainty and the error.

In automotive applications, vehicles may utilize gaze estimation systems to estimate the gaze of the driver. One or more cameras (e.g., infrared cameras) may be focused on the driver to determine a gaze direction as well as facial expressions of the driver. However, there are instances where the cameras do not have a clear view of the driver's face and cannot determine the gaze of the driver. For example, the driver may have her hand in front of her face, may be squinting, or have her head turned away from the camera. In such instances, the gaze estimation system may not be able to correctly estimate the gaze of the driver at a desired confidence level. Currently, training data for gaze estimation is gathered by positioning a person in front of a large screen and having them follow a dot on the screen. Image data of the user is gathered by tracking the user's gaze. However, this method does not provide training data for situations when it is difficult for the gaze estimation system to estimate the gaze of the subject.
Accordingly, more robust systems and methods for capturing and providing training data for gaze estimation models used in gaze estimation is desirable.
https://patents.justia.com/patent/20200089315
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020089315A1&KC=A1&FT=D&ND=3&date=20200319&DB=&locale=en_EP#
Drawings.
http://www.freepatentsonline.com/20200089315.pdf

Decisions taking a fortnight now that took a week before but the business was still busy.

Spoke yesterday to a friend who works in IP for major Japanese telecoms company. She said no face to face meetings so everything by Skype , home working , which slowed down decision making mainly due to time zone differences. Decisions taking a week now that took a fortnight before but the business was still busy.

Oldfool13,
Were the HP chips you mention going into Auto level safety grade related products?

Quiet day on the Patent front other than the continued IP refinement/evolution of SEYE patent 'Head/Eye Tracking With Light Source Preheating' 2020-03-17 which deals with the issue of Ambient light /Glare.
To my non-technical mind this puts SEYE technologically a year, probably more, behind SEE on this issue alone which along with a multitude of other reasons makes a SEYE/ GM relationship unlikely imo.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190718&CC=US&NR=2019222731A1&KC=A1#

seeingmachines@seeingmachines #team aviation is honoured to be recognised as #finalists for Excellence in Innovation alongside two industry heavyweights
@thalesgroup and @BAESystemsInc at A20 Airspace Awards, which have been, understandably, postponed.
https://twitter.com/seeingmachines

Personally my view is we have seen management communications to market improve even if it's not news want to hear.
The delays I'm viewing as out of their control.

Singapore is important to SEE.
It's home to https://www.guardiansea.com/ and given the handover of the Oil and Gas Guardian contract from CAT the considerable Petronas and Shell presence in the country makes it a potentially lucrative relationship. Ex Shell Senior project engineer Alysaa L looks to be interested in building the GuardianSea business in that direction.
https://www.linkedin.com/in/alyssalwn/detail/recent-activity/
https://www.shell.com.sg/

Melissa Chen@MsMelChen

Life in Singapore (243 cases, 0 deaths) has pretty much returned to normal.
People are walking around, mostly without masks. Shops & restaurants are open.
Big events & school activities such as tournaments were cancelled, but schools remained open unless there was a case.
https://twitter.com/MsMelChen

Walter Bloomberg@DeItaOne
$GM TO OFFER ZERO INTEREST AUTO LOANS FOR UP TO 84 MONTHS - SOURCE

Wheels are turning;

Walter Bloomberg@DeItaOne
AMAZON HIRING ADDITIONAL 100,000 EMPLOYEES IN ITS WAREHOUSES AND DELIVERY NETWORKS

Walter Bloomberg@DeItaOne
TRUMP SAYS U.S. 'WILL BACK THE AIRLINES, 100%'

*Walter Bloomberg@DeItaOne
·WHITE HOUSE DRAFTING FINANCIAL ASSISTANCE PACKAGE FOR AIRLINES THAT IS EXPECTED TO INCLUDE DIRECT ASSISTANCE, LOANS, TAX RELIEF -- SOURCES