Member Info for johnchucka

Faz,
I have not found any links to CAT yet but huge company with plenty of Cranes along with Forestry Processors, Harvesters and Grapplers.
Part of Kobe Steel, Ltd. JPY250.9billion (as of March 31, 2020)
https://www.kobelco.co.jp/english/about_kobelco/kobesteel/profile/index.html
https://www.kobelco.co.jp/english/products/
https://www.kobelco.co.jp/english/construction_machinery/

WORK MACHINE TARGET POSITION ESTIMATION DEVICE
The present invention makes it possible to make an accurate estimate of a target tip device work position that is anticipated by a work machine operator. A controller (40) calculates a predicted trajectory area A2 on the basis of detection results from each of an orientation detection unit (31) and an operation detection unit (32). The predicted trajectory area A2 is an area based on a predicted trajectory A1 that is the trajectory that a tip device 25 is predicted to follow. The controller (40) calculates a gaze point area B2 on the basis of detection results of a line of sight detection unit 33. The gaze point area B2 is an area based on the line of sight B1 of an operator O. The controller (40) sets a target position T in an area where the predicted trajectory area A2 and the gaze point area B2 overlap.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020170599A1&KC=A1&FT=D&ND=3&date=20200827&DB=&locale=en_EP
https://www.kobelcocm-global.com/worldwide/

SYSTEMS AND METHODS FOR PROVIDING IMMERSIVE EXTENDED REALITY EXPERIENCES ON MOVING PLATFORMS
Systems, methods, and computer-readable media are provided for immersive extended reality experiences on mobile platforms. In some examples, a method can include obtaining sensor measurements from one or more sensors on a mobile platform and/or a device associated with a user in the mobile platform, the sensor measurements including motion parameters associated with the mobile platform and the user; identifying features of the mobile platform and an environment outside of the mobile platform; tracking, using the sensor measurements, a first pose of the mobile platform relative to the environment outside of the mobile platform; tracking, using the sensor measurements, a second pose of the user relative to at least one of the features of the mobile platform; and tracking, based on the first pose and the second pose, a third pose of the user relative to at least one of the features of the environment outside of the mobile platform.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020271450A1&KC=A1&FT=D&ND=3&date=20200827&DB=&locale=en_EP
Drawings.
https://www.freepatentsonline.com/20200271450.pdf

CONTROL OF DIVERSE TYPES OF CREW INTERFACE FOR FLIGHT CONTROL
Diverse types of crew interfaces (400, 430, 450) are provided for outputting visible, audio and tactile information to a pilot for flight control. A unified estimation of the current aircraft state and of a current phase of flight are made (110), based on flight status information. Respective coordinated visible, audio and tactile presentations for the diverse types of crew interfaces are generated, (120) coordinated so that they provide mutually consistent indications of the unified estimation of the current aircraft state, according to the unified estimation of current flight phase. The respective coordinated presentations are output (130) by the diverse types of crew interfaces to the pilot. By coordinating crew interface outputs across sight, sound and touch senses, this can relieve the pilot of workload in interpreting unsynchronised or incoherent outputs from different types of interfaces.
https://worldwide.espacenet.com/publicationDetails/biblio?II=8&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200820&CC=US&NR=2020264010A1&KC=A1

MID-FIDELITY SIMULATION APPROACH AND METHOD FOR FLIGHT CREW TRAINING AND EVALUATION
A system for mid-fidelity simulation may include a memory configured to store data representing a flight scenario. The system may further include a display device configured to present a graphical user interface to a user, the graphical user interface including representations of a first set of control interfaces, the first set of control interfaces including one or more features that are common between multiple aircraft, the graphical user interface omitting one or more features of the first set of control interfaces that are not common between the multiple aircraft. The system may also include a processor configured to perform a simulation of the flight scenario while receiving user input and displaying user output via the representations of the first set of control interfaces.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020265737A1&KC=A1&FT=D&ND=3&date=20200820&DB=&locale=en_EP

Elon

TLS,
Yes and looks like these are close relatives with regard to regions of interest.
P30 OF 39 FIG 6 SEE / DRIVER ATTENTION STATE ESTIMATION http://www.freepatentsonline.com/WO2020061650A1.pdf
P4 OF 16 FIG 2 of FORD/ DRIVER AWARENESS DETECTION SYSTEM
http://www.freepatentsonline.com/10752253.pdf

Escovido I agree, at every stage of the development of the patents their is what appears to be considerable overlap in the described processes and technological advancement, with each company seemingly at the very same stage of incremental systems development.

METHOD AND DEVICE FOR CLASSIFYING EYE OPENING DATA OF AT LEAST ONE EYE OF AN OCCUPANT OF A VEHICLE, AND METHOD AND DEVICE FOR DETECTING DROWSINESS AND/OR MICROSLEEP OF AN OCCUPANT OF A VEHICLE
A method for classifying eye opening data of an occupant's eye in a vehicle, to detect drowsiness/microsleep, including generating a first eye opening data record at a first measuring time in a sliding time window, the first record including a measuring point, representing a first eye opening degree, a first eyelid speed and/or acceleration of motion of the occupant's eye at the first measuring time; acquiring a second eye opening data record at a second measuring time, the second record including at least one acquisition point, representing a second eye opening degree, a second eyelid speed of motion and/or acceleration of motion of the occupant's eye; and executing a cluster analysis, using the measuring point and the acquisition point to assign at least the first and/or second record to a first data cluster, to classify the eye opening data; the first cluster representing an opening state of the occupant's eye.
https://worldwide.espacenet.com/publicationDetails/biblio?II=4&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200820&CC=US&NR=2020265251A1&KC=A1

DRIVING NOTIFICATION METHOD AND DRIVING NOTIFICATION SYSTEM
[0006] In an embodiment of the invention, a driving notification method is provided and is suitable for a driving notification system including an eye tracking device and an image capturing device. The driving notification system is disposed on a mobile vehicle, and the driving notification method includes following steps. A surrounding image is captured through the image capturing device. A target object detection is performed to the surrounding image to obtain a target position of an image detection object. A gaze position of a driver is detected through the eye tracking device. Whether the gaze position matches the target position is determined. An alarm device is controlled to activate an alarming operation if the gaze position does not match the target position.

[0007] From another aspect, in an embodiment of the invention, a driving notification system is provided and includes an image capturing device, an eye tracking device, a memory, and a processor. The memory stores a plurality of instructions. The processor is coupled to the image capturing device, the eye tracking device, and the memory. The processor is configured to execute the instructions to: capture a surrounding image through the image capturing device; perform a target object detection to the surrounding image to obtain a target position of an image detection object; detect a gaze position of a driver through the eye tracking device; determine whether the gaze position matches the target position; and control an alarm device to activate an alarming operation if the gaze position does not match the target position.

[0008] To sum up, in the driving notification method and the driving notification system provided by the embodiments of the invention, the gaze position of the eyes of the driver is tracked. Moreover, the target position of the image detection object on the surrounding image is obtained through image capturing and target object detection. As such, whether a line-of-sight of the driver falls on the target object can be accordingly detected through comparing between the gaze position of the eyes of the driver and the target position of the image detection object. Therefore, if the gaze position detected by the eye tracking device does not match the target position of the image detection object of the target object, the alarming operation can be activated to notify the driver.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020269757A1&KC=A1&FT=D&ND=3&date=20200827&DB=&locale=en_EP
Drawings
http://www.freepatentsonline.com/20200269757.pdf

Driver awareness detection system
A determination that a driver of a vehicle is directed to a non on-road zone based on at least one of a head pose or an eye gaze of a driver. Based on the non on-road zone, a probability is determined that the driver does not transition from the non on-road zone to an on-road zone based on the non on-road zone. The probability is adjusted when the driver is directed to the non on-road zone for a time period that exceeds a predetermined time threshold. A warning is generated within the vehicle based on the adjusted probability.

The present disclosure describes a driver assessment system that determines whether to generate a warning, i.e., an alert, to re-engage the driver. The driver assessment system determines whether to generate the warning based on or more received images captured by at least one camera within the vehicle. Based on the received images, the driver assessment system can determine whether the driver's attention is on-road or off-road. In some implementations, the driver assessment system can determine a particular zone that the driver's attention is focused based on the received images. If the driver's attention is off-road for an extended period of time, the driver assessment system can generate the warning to re-engage the driver.

A system comprises a computer including a processor and a memory, and the memory including instructions such that the processor is programmed to determine that a driver of a vehicle is directed to a non on-road zone based on at least one of a head pose or an eye gaze of a driver, determine a probability that the driver does not transition from the non on-road zone to an on-road zone based on the non on-road zone, adjust the probability when the driver is directed to the non on-road zone for a time period that exceeds a predetermined time threshold, and generate a warning within the vehicle based on the adjusted probability.
https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200825&CC=US&NR=10752253B1&KC=B1
https://patents.justia.com/patent/10752253
Drawings
http://www.freepatentsonline.com/10752253.pdf

Thanks Jimbo

Not sure if this has been posted recently.

CANDYBAR
https://trademarks.justia.com/792/84/candybar-79284845.html

https://www.qualcomm.com/news/releases/2020/08/27/veoneer-and-qualcomm-power-next-generation-adas-and-autonomous-driving

“The future of mobility and the safe, scalable deployment of advanced driver assistance systems to fully autonomous vehicles for mass production requires unprecedented industry collaboration,” said Dipti Vachani, senior VP at Arm’s automotive department.
https://eandt.theiet.org/content/articles/2019/10/arm-toyota-and-gm-join-forces-to-make-driverless-car-chips/

SEEING MACHINES 2015-03-05
METHOD AND APPARATUS FOR EYE DETECTION FROM GLINTS

[0023] Fig. 1 illustrates an example noisy image 1 of a human head including hat 2, safety glasses 4 and air mask 3. From close examination of the image 1, it can be seen that two corneal reflections 5, 6 are also present in the image.
https://worldwide.espacenet.com/publicationDetails/description?CC=WO&NR=2015027289A1&KC=A1&FT=D&ND=4&date=20150305&DB=&locale=en_EP

[0037] Based on the driver state detected by the visual sensor 41 and the biological sensor 42 in the driver monitoring device 40 as the driver monitor, the driver state determining unit 102 determines whether the driver can normally drive the own vehicle. For example, as a driver state, a visual-line behavior based on movement of a virtual image on a cornea caused by a driver's eye movement, the wakefulness level based on variation of the visual-line behavior and change of the pupil area, the presence or absence of driver's breathing, biological information such as heart rate, blood pressure, body temperature and brain waves, driver's face orientation, motion of driver's hands, etc. are detected. The driver state determining unit 102 determines whether the driver can normally drive the own vehicle based on these pieces of information.

[0038] When the driver state determining unit 102 detects, from the orientation of the driver's face, an eye-opening state, and change in the direction of the visual line, that the driver is at least gazing in a traveling direction, the driver state determining unit 102 determines that the driver is in a state capable of driving normally. On the other hand, when the driver state determining unit 102 detects that the driver performs inattentive driving while looking in a direction other than the traveling direction for a predetermined period of time or more, although the driver does not change the lane or there is no vehicle on an adjacent lane, or performs drowsy driving, with the pupil area decreased to a threshold value or less for a predetermined period of time or more, or detects that the driver's biological information is out of a preset reference value, the driver state determining unit 102 determines that the driver's health condition has deteriorated and the driver is not in the state capable of driving normally.

[0039] After determining that the driver's health condition has deteriorated and thus the driver is not in the state capable of driving normally, the driver state determining unit 102 checks the driver state again to determine whether the driver's health condition has recovered to the normal state and the driver has returned to the state capable of driving normally. For example, when detecting that the driver is gazing in the traveling direction, and further detecting at least one of the state that the driver is holding the steering wheel, or the state that the motion of the driver's hands is the same as a pre-registered specific hand motion (hand gesture), the driver state determining unit 102 determines that the driver's health has been recovered and the driver has returned to the state capable of driving normally.

VEHICLE DRIVING CONTROL SYSTEM.
[0018] The external environment recognition device 10 recognizes an external environment around a vehicle (own vehicle) in which the driving control system 1 is installed. The external environment recognition device 10 includes various devices configured to recognize an environment, such as a camera unit 11 and a radar device 12 such as a millimeter wave radar or a laser radar. The external environment recognition device 10 recognizes an external environment around the own vehicle based on detection information on objects around the own vehicle detected by the camera unit 11, the radar device 12, etc., traffic information acquired by infrastructure communication such as road-to-vehicle communication and vehicle-to-vehicle communication, position information of the own vehicle measured by the positioning device 20, map information from the map information processing device 30 and the like.

[0028] The driver monitoring device 40 functions as a driver monitor configured to monitor, as a driver, an occupant who is capable of performing a driving operation in a vehicle compartment, with respect to the automatic driving control device 100. The driver monitoring device 40 detects a driver state, and transmits the detected driver state to the automatic driving control device 100. The driver state includes the driver's wakefulness level and physical condition, a motion associated with a driver's driving operation, and the like. The driver state is detected by a plurality of sensors such as a visual sensor 41, a biological sensor 42, and a cancel switch 43 for canceling the retreat mode to be described later, which are installed in the vehicle. A camera, a near infrared LED, a radar, an ultrasonic sensor, or the like installed in the vehicle is used as the visual sensor 41. A camera, a near infrared LED, a radar, an ultrasonic sensor, a temperature sensor, a vibration sensor, or the like is used as the biological sensor 42.

[0029] The driver monitoring device 40 detects a driver's facial expression, a driver's hand motion, etc., by the visual sensor 41, and also detects biological information such as the presence or absence of driver's breathing, heart rate, blood pressure, body temperature, and brain waves. As described later, the automatic driving control device 100 determines, based on information from the driver monitoring device 40, whether the driver is in a state capable of driving normally.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020264606A1&KC=A1&FT=D&ND=3&date=20200820&DB=&locale=en_EP

Tracking system with infrared camera
A system includes an infrared light source, an infrared camera, and a controller. The controller includes processing circuitry configured to control a pulse illumination of the infrared light source, capture a sequence of images from the infrared camera including infrared noise combined with a captured reflection of the pulse illumination, filter the infrared noise from the sequence of images based on a comparison of the captured reflection of the pulse illumination to an expected result of the pulse illumination, and track a feature of interest in the sequence of images after filtering of the infrared noise.

In high-performance head-up displays (HUDs), such as augmented reality HUDs, and other systems, tracking the location of the eyes of a user can enable image improvement actions. For example, dynamic distortion compensation can be applied, where multiple locations within an eyebox associated with a HUD can have a unique distortion compensation file to maintain an undistorted view of imagery. Tracking a feature of interest, such as eye location/gaze position, can be used to reduce motion parallax (e.g., where an object appears different when viewed from different positions) and maintain augmented reality image registration. For example, as a user moves her/his head, a corresponding virtual image can move more than real image objects, which can destroy the illusion of augmented reality where virtual images and real image objects are fused. Tracking eye position can enable dynamic image fusion. Eye location tracking can also support selection of an appropriate image perspective, where a three-dimensional perspective of an image can be modified to maintain the illusion that a virtual image is real as the user moves. Embodiments of the systems and methods as further detailed herein relate to image processing and tracking of a feature of interest using an infrared camera, such as eye-location tracking for a HUD of a vehicle.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200818&CC=US&NR=10747314B1&KC=B1
https://patents.justia.com/patent/10747314
Drawings
http://www.freepatentsonline.com/10747314.pdf

TLS.
Looks to me like overlord prescribed black-box-insurance scores for all or it's a cunning nudge plan to get us all begging to take the steering wheel away to make way for the immersive Smart car window cinema.