Member Info for johnchucka

SEE staff sharing ad put out by Yachide Yusuke of TRI lead of MLtools team and data annotation & labelling team.
https://jobs.lever.co/tri-ad/196f6161-928b-4407-aa09-6eb81bcf9cd5

Aptiv Interior sensing
https://vimeo.com/385547091

Looking to me like GM are doing some sizable PR/announcements soon around Zero Vision blah blah .. may involve Qualcomm and SEE.

S2020,
On the whole P Mcimmimmimminent has delivered on what he has said in video interviews etc. I consider the post imminent Aviation announcement to generally be the exception rather than the rule so far . With that in mind I expect Fleet figures to reflect his statement below and show a 'dramatic' improvement when we finally get them.

"The market understands very well ,through out last year we had a lot of problems with Fleet, they were primarily in the first half those problems were fixed we saw very dramatic improvements in the second half and we expect those improvements to continue over this year and next"
Paul McGlone
@5.20 https://www.youtube.com/watch?v=sONYLxRiymc

What a surprise.

Lombard enjoying the post imminent period .

S2020 Regarding Semicasts Qualcomm Smartphones Speculation. With my very limited knowledge the more I look at Microsoft VR related patents I would hazard a guess that a licencing deal in this area maybe under consideration also.

[0030] In the provided example, a first sensing device 31a is positioned at the front left (or driver) side of the vehicle 10 and is oriented 45° counterclockwise relative to the longitudinal axis of the vehicle 10 in the forward direction, and another sensor device 31c may be positioned at the front right (or passenger) side of the vehicle 10 and is oriented 45° clockwise relative to the longitudinal axis of the vehicle 10. Additional sensing devices 31i, 31j are positioned at the rear left and right sides of the vehicle 10 and are similarly oriented at 45° counterclockwise and clockwise relative to the vehicle longitudinal axis, along with sensing devices 31d and 31h positioned on the left and right sides of the vehicle 10 and oriented away from the longitudinal axis so as to extend along an axis that is substantially perpendicular to the vehicle longitudinal axis. The illustrated embodiment also includes a group of sensing devices 31e-31g positioned at or near the vehicle longitudinal axis and oriented to provide forward direction signals in line with the vehicle longitudinal axis.

[0037] In various embodiments, the user display device 108 receives the virtual scene and displays a portion of the scene based on an orientation of the user device relative to the environment. The scene depicts a virtual reality of the environment around the vehicle and information relating to certain points of interest. The information can be selectively displayed based on an interest of the passenger. For example, a child passenger may be interested in different points of interest than an adult passenger.

GM Global 2020-01-16
SYSTEMS AND METHODS FOR IN-VEHICLE AUGMENTED VIRTUAL REALITY SYSTEM
0001] The present disclosure generally relates to virtual reality, and more particularly relates to systems and methods for integrating a virtual reality experience into a vehicle using multi-view cameras, sensor fusion, and point of interest information.

[0002] Vehicle perception systems include a number of cameras. The cameras are integrated into the vehicle body and capture the surrounding environment of the vehicle. Output from the cameras is analyzed in order to control the vehicle in an autonomous or partial autonomous manner.

[0003] The view of a rear seat passenger is typically restricted by the window size and location relative to the passenger. Thus, the passenger is unable to enjoy the full landscape along a road trip. Accordingly, it is desirable to provide systems and methods for leveraging the vehicle cameras in order to provide a virtual reality view of the landscape. It is further desirable to provide additional information to the passenger along the road trip. Furthermore, other desirable features and characteristics of the present disclosure will become apparent from the subsequent detailed description and the appended claims, taken in conjunction with the accompanying drawings and the foregoing technical field and background.
[0004] Systems and methods are provided for entertaining a passenger of a vehicle by providing an immersive experience. In one embodiment, a method includes: receiving image data from a plurality of camera devices coupled to the vehicle, wherein the image data depicts an environment surrounding the vehicle; receiving point of interest data associated with the environment of the vehicle; fusing, by a processor, the image data and the point of interest data using a localization method; orienting, by a processor, the fused image data based on a position of a user device; and rendering, by a processor, the oriented, fused data on a virtual reality display of the user device.

[0024] With reference to FIG. 1A, a virtual reality system shown generally at 100 is associated with a vehicle 10 in accordance with various embodiments. The virtual reality system generally includes a plurality of vehicle cameras 102, a data storage device 104, a controller 106, and a user display device 108. In general, the virtual reality system 100 receives sensor data from vehicle cameras 102, fuses the sensor data, and associates the fused data with a point of interest (POI) map stored in the data storage device 104 to generate an informative and entertaining augmented virtual reality experience that is displayed by the user display device 108. For example, the virtual reality system 100 displays the processed data to a passenger of the vehicle 10 through eyewear worn by the user.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020020143A1&KC=A1&FT=D&ND=3&date=20200116&DB=&locale=en_EP#

Car to Cloud: From Apps to Whole-Car Updates
By Junko Yoshida 01.25.2020
https://www.eetimes.com/car-to-cloud-from-apps-to-whole-car-updates/#

Intel 20-01-16
INDEPENDENT SAFETY MONITORING OF AN AUTOMATED DRIVING SYSTEM
An automated driving system includes a security companion subsystem to access data generated at a compute subsystem of the automated driving system, which indicates a determination by the compute subsystem associated with an automated driving task. The security companion subsystem determines whether the determination is safe based on the data. The security companion subsystem is configured to realize a higher safety integrity level than the compute subsystem.
https://patents.justia.com/patent/20200017114

TOYOTA MOTOR CO LTD 2020-01-23
OCCUPANT STATE RECOGNITION APPARATUS
An occupant state recognition apparatus including an eyelid opening recognition unit configured to recognize an eyelid opening of a driver and maximum and minimum values of the eyelid opening; an eye state determination unit configured to determine that the eye is in an eye open state if the eyelid opening becomes greater than or equal to a preset threshold value, and to determine that the eye is in an eye closed state if the eyelid opening becomes less than the threshold value; and a threshold value resetting unit configured to reset the threshold value to a value between the maximum value and the minimum value of the eyelid opening, if the maximum value (or the minimum value) has not become greater (or less) than or equal to the threshold value for a predetermined period or a period corresponding to a predetermined number of times of eyelid opening and closing.
https://worldwide.espacenet.com/publicationDetails/biblio?II=2&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200123&CC=US&NR=2020026938A1&KC=A1#
https://patents.justia.com/patent/20200026938

Thanks TLS,
With P Mcimmimmimmimmiminent talking about licencing the IP would a licencing deal with Qualcomm with all it's possible applications involving SEE tech be possibly what he has in mind?

Qualcomm 2020-01-20
LOW-DELAY BUFFERING MODEL IN VIDEO CODING 2020-01-20
[0050] Video applications that may make use of video encoder 20 and video decoder 30 may include local playback, streaming, broadcast/multicast and conversational applications. Conversational applications include video telephony and video conferencing. Conversational applications are also referred to as low-delay applications, in that such real-time applications are not tolerant to significant delay. For a good user experience, conversational applications require a relatively low end-to-end delay of the entire systems, i.e., the delay between the time when a video frame is captured at a source device and the time when the video frame is displayed at a destination device. Typically, an acceptable end-to-end delay for conversational applications should be less than 400 ms. An end-to-end delay of around 150 ms is considered very good.

[0051] Each processing step of a conversational application may contribute to the overall end-to-end delay. Example delays from processing steps includes capturing delay, pre-processing delay, encoding delay, transmission delay, reception buffering delay (for de-jittering), decoding delay, decoded picture output delay, post-processing delay, and display delay. Typically, the codec delay (encoding delay, decoding delay and decoded picture output delay) is targeted to be minimized in conversational applications. In particular, the coding structure should ensure that the pictures' decoding order and output order are identical such that the decoded picture output delay is equal to or close to zero.

[0056] In the AVC and HEVC HRD models, decoding or CPB removal is access unit (AU) based, and it is assumed that picture decoding is instantaneous (e.g., decoding process 104 in FIG. 2 is assumed to be instantaneous). An access unit is a set of network abstract layer (NAL) units and contains one coded picture. In practical applications, if a conforming decoder strictly follows the decoding times signaled, e.g., in picture timing supplemental enhancement information (SEI) messages generated by video encoder 20, to start decoding of AUs, then the earliest possible time to output a particular decoded picture is equal to the decoding time of that particular picture (i.e., the time when a picture starts to be decoded) plus the time needed for decoding that particular picture. The time needed for decoding a picture in the real-world cannot be equal to zero.
https://worldwide.espacenet.com/publicationDetails/description?CC=DK&NR=2936818T3&KC=T3&FT=D&ND=3&date=20200120&DB=&locale=en_EP#

S2020,
No contracts just Technology and innovation Awards and we all know no one wants the best stuff .

S2020,

TLS etal,
A question about SEE Patent HIGH FRAME RATE IMAGE PRE-PROCESSING SYSTEM AND METHOD.
070 talks about near real time/ real time / Milli/nanoseconds.
Is the processing speed described an improvement/advance of technology across the industry and potentially applied in video gaming and many consumer applications etc or is this advance specifically related to lower power use/ lower heat / optimising situations?

[0070] As used herein, the terms‘real-time’ refer to the ability of the system to process information within a timeframe such that the next step in the process can be timely performed. By way of example, the above described image pre-processing method is able to be performed iteratively on each batch of images such that the images can be fed to the video processing pipeline in an ongoing basis sufficient to produce continuous output. Applicable response periods for the purpose of defining the constraints of ‘real-time’ and ‘near real-time’ are in the range from nanoseconds to several milliseconds.

https://worldwide.espacenet.com/publicationDetails/description?CC=WO&NR=2019241834A1&KC=A1&FT=D&ND=3&date=20191226&DB=&locale=en_EP#

S2020
So the quote from Gentex should more accurately read;)

We found out that the live demonstrator was
using Seeing Machines technology but the company was keen to point out that it is open to
other DMS software suppliers 'because we might not choose to use the best and cheapest and we may select a system that has unresolved Glare issues'. Gentex’s other advanced products included iris scanning for both
the automotive and aviation sectors."

S2020,
Are you thinking the Gentex Iris detection product is SEE tech ? It would certainly need some Glare reduction algorithm for the application described.

GENTEX CORP
USER AUTHENTICATION ACTIVATION SYSTEMS AND METHODS 2019-06-18
A vehicle occupant identification system includes a detection system configured to detect that an individual is proximate a vehicle. The detection system is configured to detect the proximity of an individual by detecting at least one of a door unlock, a key fab, a door opening, a door closing, a seated passenger, and an individual proximate the vehicle. A controller is operably coupled with the detection system and is configured to activate an identification system. The identification system includes an imager configured to illuminate an eye of an occupant of the vehicle and capture at leastone image of an iris and a pupil of the eye. A processor is configured to compare the at least one image of the iris of the eye of the occupant with previously stored iris information to identify theoccupant and activate the vehicle.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190618&CC=CN&NR=109906178A&KC=A#