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ADAS Advanced Engineering / Sorround View Engineer
1) This job is to be charge for advanced development of ADAS(Advanced Driver Assistant System)system, such as Surround View System, 24GHz/77GHz/79GHz Radar, Laser, Camera Sensing and Fusion system.

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Engage in the following several tasks, based on engineer's ability.
1) Explain technical information to customer
2) Clarify specification based on Japanese customer requirement
3) Join base development in Japan and Germany/UK (if necessary, primarily/temporary)
4) Develop Software as an optimization to meet customer requirement
5) Build-up Demo car which will be equipped with advanced system and surround view
6) Evaluate and analyze test date
https://www.linkedin.com/jobs/view/1673660251/?refId=99fd53c0-1d92-4d8c-a1c0-5d8f8af16b5d&trk=eml-vjr-similar-job-title&midToken=AQHvDkine6FO-g&trkEmail=eml-email_jobs_viewed_job_reminder_01-null-38-null-null-5z4o20%7Ek6jphiqw%7E52-null-jobs%7Eview

GAZE-CORRECT VIDEO CONFERENCING SYSTEMS AND METHODS
https://patents.justia.com/patent/20200045261
In some cases, there may be video conferences where participants wish to move through their environment or otherwise change their physical position. A video conference session in which there is real-time variability in the physical position of participants(s) relative to a camera or to one another may preclude the capture of a consistent or reliable view of the participants(s) for the remote users. One of the factors that is known to be essential for face-to-face communication is eye contact. Eye contact can instill trust and foster an environment of collaboration and partnership. Lack of eye contact, on the other hand, may generate feelings of distrust and discomfort. Unfortunately, eye contact is usually not preserved in typical video conferencing. Although various techniques have been employed for improving the quality of video conferencing, there remain significant areas for new and improved ideas for capturing and presenting video in video conferencing sessions.

The following implementations introduce video conferencing systems and process for facilitating eye contact between participants of a video conferencing session. These systems are configured to improve gaze alignment between live participants and projected images of remote counterparts. This can occur by generation of composite images that maximize the presentation of a participant's face and eyes. In addition, segmentation of the image allows foreground images to be composited with background images. These systems are configured to present images of the participant(s) such that the projected person appears to be looking directly at a camera. As a result, the participants can have a gaze-correct multi-party video conferencing session.
For purposes of this application, the terms “eye contact”, “gaze alignment”, or “direct gaze” refer to a situation in which two individuals are looking directly into each other's eyes, or where an image of a live person's eyes appear to be directed towards a person viewing the image, and/or a live person's eyes are directed toward the eyes of a projected image of a person. As noted above, eye gaze carries important information about another person's focus of attention, emotional and mental states, and intentions, as well as signals another person's potential interest for social interaction. Through eye contact, two persons share emotions and can more readily develop a connection. The perception of a direct gaze can trigger self-referential processing that leads, for example, to the enhanced processing of incoming information, enhancement of self-awareness, and increased prosocial behavior. The eye region is a key region of the face that individuals tend to pay attention to during conversations, as shown in multiple studies using eye tracking technology. In addition, a direct gaze can hold an audience's attention more effectively than other gaze direc

Random Dots/ I know nothing about this Microsoft stuff but this is what some of the companies and/or employees mentioned in the last post say about their relationship with Microsoft systems. May mean something or nothing to those with knowledge in this field . TLS??

Avanade
Microsoft Teams
Avanade provides a great workplace experience for clients with Microsoft Teams
https://www.avanade.com/en
Information Technology & Services Seattle, Washington 222,735 followers
Innovative leader in digital and cloud services, business solutions & design-led experiences via Microsoft technology.

A23 Canbeera
James G.
Senior System Engineer at A23 Canberra
Canberra, Australia 215 connections Contact info

A23 Canberra
Swinburne University of Technology
You don't hear it often, but I am an IT professional who is passionate about his job! Working in IT allows you to write your own future, which is an empowering thing; so, I can never learn enough and I'm always on the lookout for my next deep dive. I thrive on growing rapidly and love teaching and empowering others.

I bring this passion for the job, to clients, customers and employers and the result is quality solutions to IT problems from someone who gets along well with co-workers, management and customers alike.

My passion for this work has allowed me to move up quickly and gain a strong understanding of many Windows stack technologies. I have spent the last 7 years in Windows Server infrastructure administration and management, with a recent specialization into the design and management of End user Computing environments.
Specialties: Microsoft deployment technologies; SOE design; device control; security and hardening; scripting/automation; configuration management; application packaging; Microsoft Windows server and client operating systems; deployment and management of Windows server infrastructure technologies; industry best practice.

Infront
As a Microsoft Certified Partner, Infront are experts across Azure, Office 365 and Dynamics 365. Infront's Architect and Engineers are the Microsoft specialists to move the right workloads to cloud.
https://www.infront.net.au/partners/

Driver monitoring system and method of operating the same.
A driver monitoring system for a vehicle and method of operating the driver operating system. The method, in one implementation, involves receiving a plurality of glance aim points for a driver of the vehicle; inputting the plurality of glance aim points into a predictive probability of distraction model to obtain a predictive distraction distribution; determining whether one or more informative glance locations are present in the plurality of glance aim points; comparing the predictive distraction distribution to a predictive distraction distribution threshold when one or more informative glance locations are present in the plurality of glance aim points; and alerting the driver when the predictive distraction distribution satisfies or exceeds the predictive distraction distribution threshold.

The system and methods described below involve driver distraction prediction for a driver monitoring system using time series glance pattern analysis. The glance pattern analysis results in a predictive distraction distribution that can be used to determine whether an alert should be provided to the driver. The predictive distraction distribution can be a graphical or numerical data scheme representing a crash or near crash probability for a given glance location or glance transition based on prior data. In some embodiments, the glance pattern analysis can be fused with a predictive saliency distribution to estimate or assess potential threats to the vehicle. The predictive saliency distribution is a spatiotemporal camera based predictive distribution over threats that other drivers would be likely to visually attend. The present systems and methods, through a more sophisticated pattern analysis, can help to more efficiently detect distraction than other driver monitoring systems while reducing false alarms.

DETAILED DESCRIPTION (9th Para)
Cameras 34, 36 may be of any suitable camera type (e.g., charge coupled device (CCD), complementary metal oxide semiconductor (CMOS), etc.) and may have any suitable lens known in the art so that it is not limited to any particular type, brand or model. In one particular embodiment, the cameras 34, 36 are both mounted to a pair of glasses worn by the driver of the vehicle 12. In another embodiment, the cameras 34, 36 are integrated in a single camera module mounted near or on the windshield or rearview mirror of the vehicle 12. In some embodiments, only one camera may be used to obtain both the environmental camera images and the driver glance images. Other camera configurations are certainly possible, such as mounting the environmental camera 34 on the exterior of vehicle 12, and mounting the driver facing camera 36 near the rear view mirror, to cite a few examples.
https://patents.justia.com/patent/10552695

QUALCOMM INC 2020-02-04
Camera calibration
Methods, systems, and devices for calibrating a camera device are described. The camera device may capture a first set of images of a physical environment and a second set of images of the physical environment having at least one illuminated reference point. The camera device may use a multi-dimensional target for calibration that may be formed by a quantity of illuminated reference points. That is, the illuminated reference points may be part of the multi-dimensional target. The camera device may determine a location of at least one illuminated reference point in an image of the second set based on an image of the first set and the image of the second set, and determine an association between the location of the at least one illuminated reference point in the image of the second set to a physical location of the illuminated reference point in the physical environment. As a result, the camera device may be calibrated.

A camera system may be deployed to provide various types of functional features. In an example related to virtual reality applications, a camera system may support a fully immersive virtual reality experience, a non-immersive virtual reality experience, or a collaborative virtual reality experience. In another example, a camera system may be combined with a computer vision-based driving assistance system of an automotive vehicle to support autonomous self-driving functions. As one example, a camera system may be integrated with the automotive vehicle to perform various analysis such as real-time road monitoring and obstacle detection, etc.
Each camera in a camera-based system may have to be calibrated before being deployed for a certain application to ensure accuracy. Some camera calibration techniques, however, may be substandard and pose challenges. As a result, these calibration techniques may be deficient and ineffective as well as affecting user-experience by necessitating human intervention to perform the calibration.
https://patents.justia.com/patent/10552983

REAL TIME PREDICTION DEVICE
BACKGROUND OF THE INVENTION
[0001] The invention is directed to a real time prediction device for use in combination with a human being where the human being issues data.

[0002] In many applications there is an interest in producing one or more alarms based on the state of a human being, where the human being issues data, which can typically be acquired via appropriate sensors. Following capture, the data is generally transformed in some sort of a signal, typically electronic. One or more such signals may then be combined into other signals that are not directly generated by the human being. These signals are typically obtained by computation but are related to the data issued by the human being.

[0003] An example of such an application is a device to prevent a driver of a vehicle from falling asleep at the wheel or from having an accident due to drowsiness or, equivalently, to somnolence. Here, the driver is obviously the human being of interest. The signal related to the data might be a level of drowsiness of the driver obtained in some way, e.g. via polysomnography (PSG) or via photooculography (POG). The device would issue an alarm when the level of drowsiness reaches a level deemed “reference level”. The alarm may be, among others, by audible, visible, olfactory, and/or vibratory means.

[0004] US2004/0236235 describes a human condition detection system for detecting the transition from an active sate to a sleep state. A bio-signal analysis means includes a bio-signal peak value detection means for detecting a peak value for each cycle of an original waveform of bio-signal data, and a power value calculation means for calculating a difference between the peak value at an upper limit side and the peak value at a lower limit side for every prescribed time range. A slide calculation is performed to determine if a sudden drop state appears that is indicative of falling asleep. This publication predicts the human condition at the present moment.

[0005] While it is obviously important to be able to determine the level of drowsiness of a driver and to make predictions about this level in the case of conventional vehicles and driving, it is also important to do so in the case of self-driving vehicles. Indeed, the automatic driving system may decide to take over from the driver if it determines that the level of drowsiness of the driver becomes too high, or the automatic driving system may need to decide whether it is safe to hand over the “manual” driving to the driver.
https://worldwide.espacenet.com/searchResults?ST=singleline&locale=en_EP&submitted=true&DB=&query=%0D%0AVERLY+JACQUES

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