Member Info for johnchucka

Baxter,
If I recall it right A8 called 12p as correct value at the time before TFD was revealed but I don't recall anything other than that and his off putting disingenuous nature along with his completely wrong and disparaging remarks about CB.

Driver Gaze detail described from 440.
XR DEVICE AND METHOD FOR CONTROLLING THE SAME
An extended reality (XR) device and a method for controlling the same are disclosed. The XR device is applicable to 5G communication technology, robot technology, autonomous driving technology, and Artificial Intelligence (AI) technology. The XR device includes a transparent display, a sensing unit configured to sense a relative position and gaze direction of a user with respect to the transparent display, and a processor configured to recognize at least one real-world external object that is located in a forward direction of the transparent display and is visible to the user through the transparent display, based on the relative position and gaze direction of the user sensed by the sensing unit.

BACKGROUND OF THE INVENTION

Field of the Invention

[0002] The present disclosure relates to an extended reality (XR) device for providing augmented reality (AR) mode and virtual reality (VR) mode and a method of controlling the same. More particularly, the present disclosure is applicable to all of the technical fields of 5thgeneration (5G) communication, robots, self-driving, and artificial intelligence (AI).

Discussion of the Related Art

[0003] Virtual reality (VR) simulates objects or a background in the real world only in computer graphic (CG) images. Augmented reality (AR) is an overlay of virtual CG images on images of objects in the real world. Mixed reality (MR) is a CG technology of merging the real world with virtual objects. All of VR, AR and MR are collectively referred to shortly as extended reality (XR).

[0004] XR technology may be applied to a Head-Mounted Display (HMD), a Head-Up Display (HUD), eyeglasses-type glasses, a mobile phone, a tablet, a laptop, a desktop computer, a TV, digital signage, etc. A device to which XR technology is applied may be referred to as an XR device.

[0005] The above-mentioned XR device may include a transparent display as a display for displaying information.

[0006] A user can view, through the transparent display, real-world objects located opposite to the transparent display. In addition, the user can view information provided by the XR device through the transparent display.

[0007] However, currently, whereas the XR device has been designed to increase visibility and light transmittance of the transparent display or to adjust transparency of the transparent display in a manner that the user can more clearly view one or more real-world objects located opposite to the transparent display through the transparent display, it is actually impossible for the XR device to provide, through the transparent display, various functions associated with the real-world object viewed by the user within the environment embedded in the XR device.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020043239A1&KC=A1&FT=D&ND=3&date=20200206&DB=&locale=en_EP#

Semicast Research@semicast_res
If you wrote about the future of AVs & "self-driving" by drawing on the wisdom of
@missy_cummings, the shame & vulnerability research of @BreneBrown & the
@self_compassion work of Dr Kristin Neff, you might end up with something like this cc:
@junkoyoshida
https://www.eetimes.com/cracks-in-seams-of-robo-dreams/

S2020
Total guess but LG based in South Korea and also could be a reason or another reason why "The momentum we built out of CES is really paying dividends for us"
https://www.lg.com/sg/press-release/www.lg.com-1-for-immediate-release-lg-and-qualcomm-to-jointly-research-and-develop-next-gen-connectivty-solutions-for-cars

https://beebom.com/lg-qualcomm-webos-auto-car-infotainment/
https://www.youtube.com/watch?time_continue=36&v=lqSWOYtloek&feature=emb_logo

David Agnew, V.P. of Business Development of Dataspeed
https://www.automotiveworld.com/speaker-bio/david-agnew-v-p-of-business-development-of-dataspeed/
https://www.dataspeedinc.com/
Ford F-150 equipped with Dataspeed By-Wire Kit, LiDAR, and GPS. Driver demonstrates recording route and sending the vehicle back on the path autonomously.
https://www.youtube.com/watch?time_continue=12&v=OfRzm4osEBg&feature=emb_logo

Can This Biometric System ‘Cure’ Drowsy Driving?

“The camera system is designed to scan the driver’s facial and eye movements for signs of drowsiness…”

Hyundai Mobis has announced a new biometric system for smart cars that could save lives.
It revolves around an infrared camera that can be installed unobtrusively within the vehicle. The camera system is designed to scan the driver’s facial and eye movements for signs of drowsiness; at the same time, its AI system can also monitor any signs of erratic driving, such as zigzagging between lanes. If the system determines that the driver is falling asleep, it can transition the smart car to autonomous control and find a safe place to pull over.
In a statement announcing the solution, Hyundai Mobis cited AAA Foundation for Traffic Safety data in asserting that more than 20 percent of traffic fatalities per year in the US are the result of drowsy driving. Hyunadi Mobis North America autonomous vehicle development director David Agnew explained that with respect to the company’s Departed Driver Rescue & Exit Maneuver technology, “Our research approach has been clinical; we are essentially working on a ‘cure’ for drowsy driving injuries and fatalities.”
Hyundai Mobis plans to showcase the technology at next week’s Consumer Electronics Show, where it will also show off other cutting-edge automotive technologies for the smart car such as a pop-up steering wheel and rotating seats. CES 2018 will run from January 9th to 12th in Las Vegas.
https://findbiometrics.com/can-biometric-system-cure-drowsy-driving/

Continental doing a SEE/Xilinx/ Conti or did he just feel like a change?
https://thebrakereport.com/hyundai-mobis-recruits-foreign-talent-self-driving-car-technology/

AGNEW DAVID Patents
CONTINENTAL AUTOMOTIVE SYSTEMS INC
ROAD DEPARTURE PROTECTION SYSTEM 2019-01-03
https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190103&CC=US&NR=2019002024A1&KC=A1#

HYUNDAI MOBIS CO LTD 2020-02-06
APPARATUS AND METHOD OF SAFETY SUPPORT FOR VEHICLE
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200206&CC=US&NR=2020043340A1&KC=A1#

APPARATUS AND METHOD OF SAFETY SUPPORT FOR VEHICLE
A vehicle safety support apparatus includes: a driver monitoring sensor configured to monitor a driver; an external environment monitoring sensor configured to monitor an external environment of a vehicle; a driver input filtering unit configured to filter a vehicle control input from the driver; and at least one processor connected to the driver monitoring sensor, the external environment monitoring sensor, and the driver input filtering unit, the at least one processor configured to: determine criterion based on data acquired from the driver monitoring sensor and the external environment monitoring sensor; determine whether to take over a driving control of the vehicle in response to the data acquired from the driver monitoring sensor and the external environment monitoring sensor meeting the criterion; and perform autonomous driving to move the vehicle to a safe area in response to determining to take over the driving control from the driver.

0030] The driver monitoring unit 110 may monitor the physical features, physical characteristics, posture and control intention of a driver. The driver monitoring unit 110 may include various sensors and devices for performing the above-described function. For example, the driver monitoring unit 110 may include a camera or radar for monitoring the physical features, physical characteristics and posture of the driver, and a steering wheel angle sensor, acceleration pedal sensor and brake pedal sensor for monitoring the vehicle control intention of the driver.

[0032] The external environment monitoring unit 120 may monitor the road and traffic environment outside the vehicle. The external environment monitoring unit 120 may include various sensors and devices for performing the above-described function. For example, the external environment monitoring unit 120 may include a camera, radar, ultrasonic sensor and the like, in order to monitor the road and traffic environment outside the vehicle. At this time, an AVM (Around View Mode) device or black box for a vehicle may be employed as the camera included in the external environment monitoring unit 120, and the radar or ultrasonic sensor included in the ADAS or LDWS mounted in the vehicle may be employed as the sensors and devices included in the external environment monitoring unit 120.
https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200206&CC=US&NR=2020043340A1&KC=A1#

Semicast Research@semicast_res
Great analysis of engineering challenges associated with developing consumer VR headsets. The role of accurate eye-gaze tracking for fixed foveated rendering to reduce power & price will become evident in time. Qualcomm is clearly a critical partner in VR.
https://www.electronicproducts.com/News/Oculus_s_Quest_bigger_VR_worlds_on_a_budget_without_sacrificing_innovation.aspx

Hi Jazz,
There have been a couple of patents recently that describe the detection/managing of driver cognitive overload and prevention etc which are likely part of the systems they are developing.
Also I noted that the Foreign Reference is a Toyota Patent.
https://register.epo.org/ipfwretrieve?apn=US.201916517881.A&lng=en

GAZE DETECTION OF OCCUPANTS FOR VEHICLE DISPLAYS
Method and apparatus are disclosed for gaze detection of occupants for vehicle displays. An example vehicle includes a panoramic display including polarized displays. The example vehicle also includes a controller to identify a primary operator interface and a primary passenger interface and detect, via one or more cameras, an operator gaze and a passenger gaze. The controller also is to present the primary operator interface to an operator via one of the polarized displays corresponding with the operator gaze and present the primary passenger interface to a passenger via one of the polarized displays corresponding with the passenger gaze.

[0018] Examples disclosed herein include a panoramic display within a vehicle that is formed of one or more polarized displays. The vehicle also includes a display controller to identify one or more interfaces for the operator (e.g., a primary operator interface, a secondary operator interface, a tertiary operator interface, etc.) and one or more interfaces for the passenger (e.g., a primary passenger interface, a secondary passenger interface, a tertiary passenger interface, etc.). Further, the vehicle includes one or more cameras that enable the controller to identify, via image recognition, a gaze direction of the operator and a gaze direction of the passenger. Via the polarized display(s), the controller simultaneously presents (1) the operator interface(s) to the operator based on the gaze direction of the operator and (2) the passenger interface(s) to the passenger based on the gaze direction of the passenger. For example, the controller presents (1) the primary operator interface to the operator via one of the polarized display(s) that corresponds with the operator gaze and (2) the primary passenger interface to the passenger via one of the polarized display(s) that corresponds with the passenger gaze.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020012342A1&KC=A1&FT=D&ND=3&date=20200109&DB=&locale=en_EP#

AIR TRAFFIC CONTROL OPERATOR TERMINAL
This air traffic control operator terminal, of the type comprising air traffic information display means (1) and man / machine interface means (2) made available to the operator in particular for managing the traffic and the operation of the terminal, is characterized in that the means forming a man / machine interface further comprise a touch pad (3) and an oculometer (4) for detecting the position of the operator's eyes to control a tilting the operation of the touch pad (3) between a first operating mode of traffic management and the operation of the terminal by operator gestures on the touch pad (3) and a second operating mode of data entry by the operator (3), when the latter's eyes leave the information display means (1) to look at the touch pad (3).
https://worldwide.espacenet.com/publicationDetails/biblio?II=23&ND=3&adjacent=true&locale=en_EP&FT=D&date=20191230&CC=HU&NR=E045280T2&KC=T2#

ADAPTIVE FLIGHT TRAINING TOOL
A system for flight training includes one or more non-transitory computer-readable memories storing instructions one or more processors executing the instructions to perform operations. The operations include creating activities corresponding to flight training requirements; initializing a state and a cognitive load for each activity, wherein the state comprises at least one of review state, rollover state, skip state, or new state, and the cognitive load is indicative of cognitive effort; storing the activities and respective states and cognitive loads in a database; selecting a subset of the activities; assigning the subset to a lesson; recording a score for activities in the subset, the score reflecting a student's performance of the activity during the lesson; storing the scores in the database; updating the state of an activity in the subset based on the core recorded for the activity; and updating the cognitive load of activities.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200213&CC=US&NR=2020051459A1&KC=A1#

https://www.aopa.org/news-and-media/all-news/2020/february/10/united-airlines-digs-into-training-market

DISPLAY DEVICE, AND DISPLAY CONTROL METHOD
A display device includes an image generator configured to generate a service image to be visually recognized by an observer by outputting light for forming an image toward a reflector reflecting incident light toward the observer's eyes and superimposing the light on a scene, a receiver configured to receive the observer's operation of reducing a visibility of the image, and a controller configured to control a visibility of the service image in accordance with the operation performed on the receiver, and the controller is configured to cause the image generator to generate a warning image in a case in which the operation of reducing the visibility to a predetermined degree is performed.
https://worldwide.espacenet.com/publicationDetails/biblio?II=5&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200213&CC=US&NR=2020051531A1&KC=A1#

VEHICLE SYSTEM
A vehicle system includes: a camera that can capture an image of a vehicle occupant; and a state change unit that can change an image capturing state for the vehicle occupant by the camera to each of an image capturing permitted state where an image of the vehicle occupant is permitted to be captured and an image capturing limited state where capturing the image of the vehicle occupant is limited. The state change unit changes the image capturing state for each vehicle occupant.
https://worldwide.espacenet.com/publicationDetails/biblio?II=1&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200213&CC=US&NR=2020047697A1&KC=A1#

DECOUPLED MOTION MODELS FOR OBJECT TRACKING
https://patents.justia.com/patent/20200051254
A visual tracker may track an object by identifying the object in a frame, and the visual tracker by identify the object in the frame within a search region. The search region may be provided by a motion modeling system that independently models the motion of the object and models the motion of the camera. For example, an object motion model of the motion modeling system may first model the motion of the object, assuming the camera is not in motion, in order to identify the expected position of the object. A camera motion model of the motion modeling system may then update the expected position of the object, obtained from the object motion model, based on the motion of the camera.

With reference to FIGS. 6-12, various aspects of an object-tracking system may be described. In aspects, an object-tracking system may include and/or may be communicatively coupled with at least one camera. However, the at least one camera may not be stationary. For example, the camera may be incorporated in systems and apparatuses that are mobile, causing the motion of an object relative to the camera to be a function of both the object's motion and the camera's motion. Examples of systems and apparatuses that may include object-tracking systems include automobiles (e.g., for autonomous driving), drones (e.g., for avoidance of moving or dynamic obstacles, Internet-enabled cameras and/or other Internet-of-Things (IoT) devices, service robots, and so forth.

By way of illustration, the person 616 may be in motion toward a roadway on which the car 606 is traveling. Accordingly, the position of the person 616 relative to the camera 604 may be a function of both the motion of the person 616 and the motion of the car 606 (to which the camera 604 is attached). In order to estimate the position of the person in a next frame of the image data, the object-tracking system 602 may consider both the motion of the person 616 and the motion of the car 606.
In various aspects, the object-tracking system 602 may obtain the image data from the camera 604. The image data may include a plurality of frames (e.g., the image data may be video or a plurality of still images) that depict at least a portion of the person 616. The object-tracking system 602 may determine position information associated with the person 616 based on the image data. For example, the object-tracking system 602 may model the estimated position of the person 616 in a next frame of the plurality of frames based on one or more of the previous frames of the plurality of frames. In aspects, the object-tracking system 602 may first estimate the position of the person 616 without considering the motion of the camera 604. In other words, the object-tracking system 602 may assume that the camera 604 is stationary when first estimating the position of the person 616.

The device 100 may include or be connected to one or more input devices 113. In some examples, the one or more input devices 113 may include one or more of: a touch screen, a mouse, a peripheral device, an audio input device (e.g., a microphone or any other visual input device), an eye gaze input device (which may be referred to as an eye gaze tracker, an eye tracker, an eye gaze sensor, eye movement tracker, an eye movement sensor, an eye sensor, or the like), a visual input device (e.g., a camera, an eye tracker, or any other visual input device), any user input device, or any input device configured to receive an input from a user. In some examples, the display 103 may be a touch screen display; and, in such examples, the display 103 constitutes an example input device 113.

In the example of FIG. 1A, the one or more input devices 113 is shown as including an eye gaze input device 113-1. The eye gaze input device 113-1 may be configured to determine where a user of device 100 is looking, such as where a user is looking on a display (e.g., the display 103). Otherwise described, the eye gaze input device 113-1 may be configured to generate information indicative of an eye gaze region. The eye gaze region may be a region where the user of the device 100 is looking. In some examples, the eye gaze region may be referred to as a fovea/foveated region or a fixation point region. The information indicative of an eye gaze region may include information indicative of one or more regions, such as the eye gaze region (e.g., a fovea region) and/or one or more regions outside of the eye gaze region (e.g., a peripheral region). In some examples, the peripheral region may be the region that falls outside of the eye gaze region.

As described herein, a device, such as the device 100, may refer to any device, apparatus, or system configured to perform one or more techniques described herein. For example, a device may be a server, a base station, user equipment, a client device, a station, an access point, a computer (e.g., a personal computer, a desktop computer, a laptop computer, a tablet computer, a computer workstation, or a mainframe computer), an end product, an apparatus, a phone, a smart phone, a server, a video game platform or console, a handheld device (e.g., a portable video game device or a personal digital assistant (PDA)), a wearable computing device (e.g., a smart watch, an augmented reality (AR) device, or a virtual reality (VR) device), a non-wearable device (e.g., a non-wearable AR device or a non-wearable VR device), any AR device, any VR device, a display (e.g., display device), a television, a television set-top box, an intermediate network device, a digital media player, a video streaming device, a content streaming device, an in-car computer, any mobile device, any device configured to generate content, or any device configured to perform one or more techniques described herein. In some examples, the device 100 may be an apparatus.

Qualcomm 2020-02-13
DYNAMIC RENDERING FOR FOVEATED RENDERING
https://patents.justia.com/patent/20200051213
A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, an example method may include receiving information indicative of an eye gaze region. The method may include improving a graphics processing pipeline by based on the information indicative of the eye gaze region.

In foveated rendering, the second processing unit 106 may be configured to render graphical content of a frame based on information indicative of an eye gaze region. The human vision system results in high resolution vision in the fovea (the central vision area, which is where a person is looking) and low resolution in the peripheral region around the fovea. Foveated rendering leverages how the human vision system works by rendering graphical content corresponding to an eye gaze region at a high resolution, and rendering graphical content corresponding the peripheral region around the eye gaze region at a low resolution. By reducing the resolution in the peripheral region, the computational load of the second processing unit 106 may be reduced, thus resulting in more efficient processing.

In accordance with the techniques described herein, the second processing unit 106 may be configured to more efficiently generate graphical content for foveated rendering. The second processing unit 106 may be configured to more efficiently perform adaptive rendering for foveated rendering. For example, the second processing unit 106 may be configured to receive information indicative of the eye gaze region. Based on the information indicative of the eye gaze region, the second processing unit 106 may be configured to determine which bin(s) of a plurality of bins corresponding to a framebuffer are to be rendered using a tile-based rendering mode and determine which bin(s) of the plurality of bins corresponding to the framebuffer are to be rendered using a direct rendering mode. In such examples, the second processing unit 106 may be configured to more efficiently generate graphical content, such as by enabling faster memory access for select graphical content and reduce memory access overhead for select graphical content in accordance with the techniques described herein.

Getting a mention. Source
https://www.premiercranes.com.au/

the largest part of our fleet business is in the southern hemisphere".
Paul McGlone 2m25
Seeing Machines reports 'continued momentum' as fleet installations accelerate
https://www.proactiveinvestors.co.uk/companies/news/912760/seeing-machines-reports--continued-momentum--as-fleet-installations-accelerate-912760.html