Member Info for johnchucka

Maybe relevant to CB speculation.

Qualcomm 2020-10-05
SYSTEM-IN PACKAGES
System-in packages, or multichip modules, are described which can include multi-layer chips and multi-layer dummy substrates over a carrier, multiple through vias blindly or completely through the multi-layer chips and completely through the multi-layer dummy substrates, multiple metal plugs in the through vias, and multiple metal interconnects, connected to the metal plugs, between the multi-layer chips. The multi-layer chips can be connected to each other or to an external circuit or structure, such as mother board, ball grid array (BGA) substrate, printed circuit board, metal substrate, glass substrate, or ceramic substrate, through the metal plugs and the metal interconnects.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=ES&NR=2785075T3&KC=T3&FT=D&ND=3&date=20201005&DB=&locale=en_EP

https://www.qualcomm.com/products/snapdragon-system-package
Custom-built, integrated solution that enables design flexibility and robust features with low power consumption.

Qualcomm® Snapdragon™ System-in-Package is a custom-built, integrated module that supports design flexibility and robust smartphone features with low power consumption.

Smartphone manufacturers gain more design flexibility, enabling them to choose to extend efficiencies to device design and/or build in more features and attributes. Advanced technologies across camera, multimedia, power management, and performance allow Snapdragon System-in-Package powered devices to provide excellent coverage and improved connectivity.
https://www.qualcomm.com/products/snapdragon-system-package

DRIVER-BASED PREDICTION OF DANGEROUS EVENTS
A method that includes (a) monitoring a physiological state of a driver to provide physiological state information; (b) receiving or generating an indication about a dangerous event; (c) searching for a predicting physiological parameter that is associated with a predicting pattern that was indicative of an occurrence of the dangerous event; and (d) responding to the when finding of the predicting physiological parameter.

[0048] The monitor may directly or indirectly measure the one or more physiological parameters. A direct monitoring of a physiological parameter may involve measuring the physiological parameter by the monitor. An indirect monitoring of a certain physiological parameter may include measuring another physiological parameter and inferring the certain physiological parameter from the other physiological parameter. For example—stress may be inferred from a blood pressure of the driver.

[0049] The monitor may be attached to the driver, may be spaced apart from the driver, may be installed in a driving wheel, may be coupled to the driving wheel, may be installed in a driver seat (for example—embedded under the fabric of the driver seat), may be coupled to the driver seat, may be installed in the vehicle, may be detachably connected to the vehicle, may be worn by the driver, may be a dedicated health monitor, may be a smartphone, may be included in a wrist band, may be a radar, may be a temperature sensor, may be a camera (visual light, wideband camera, narrow band camera, RBG (red, blue and green) camera, near infrared camera, infrared camera), may be a motion sensor, may be a stress sensor, may be an electrocardiography (EKG) sensor, may be an Electroencephalography (EEG) sensor, may be an ultrasonic sensor, may be a sonar, may be an acoustic sensor, and the like.

[0050] The one or more physiological parameters may be any physiological parameter. Non-limiting examples may include any parameter related to ECG parameters (PR interval, ST Interval, RR interval), EEG parameter, heartbeat, blood pressure, sweat, breathing rate, yawning rate, blinking rate, eyeballs movements rate, head turns, changes of direction of gaze, direction of gaze, and the like.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020283003A1&KC=A1&FT=D&ND=3&date=20200910&DB=&locale=en_EP

To my mind one of the reasons why SEE will have more than 30% of the market is due to it's real time capacity and the eco systems demand to feed the cloud with accurate driver to driver information . The two Patents below describe a level of similarity of function and therefore may link the DMS provider of Honda to the DMS provider of Toyota. Possibly.

HONDA MOTOR CO LTD 2019-07-04
VEHICLE CONTROL DEVICE, VEHICLE CONTROL METHOD, AND PROGRAM
Provided is a vehicle control device comprising: an acquisition part for acquiring information indicating the orientation of the face or gaze of an occupant in another vehicle; an assessment part for assessing whether the orientation indicated by the information acquired by the acquisition part corresponds to an orientation that is directed toward a host vehicle (on which the vehicle control device is mounted) as viewed from the other vehicle; and a drive control part for controlling the steering and/or the acceleration of the host vehicle, said drive control part being designed to carry out prescribed control when it has been assessed by the assessment part that the orientation indicated by the information corresponds to the orientation directed toward the host vehicle as viewed from the other vehicle.

[0037]
Further, the other vehicle occupant gaze direction recognition unit 132 of the recognition unit 130 identifies the other vehicle m from the recognized objects and recognizes the occupant who is on the other vehicle m. Then, the other vehicle occupant gaze direction recognition unit 132 recognizes the direction of the occupant's face or the direction of the line of sight of the recognized other vehicle m. For example, the other vehicle occupant gaze direction recognition unit 132 recognizes the direction of the occupant's face or the direction of the line of sight based on the position of the occupant's pupil, iris, inner corner of the eye, skin, hair area, and the like.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2019130483A1&KC=A1&FT=D&ND=3&date=20190704&DB=&locale=en_EP

TOYOTA MOTOR CORP 2020-06-30
DRIVING ASSIST DEVICE, VEHICLE, INFORMATION PROVIDING DEVICE, DRIVING ASSIST SYSTEM, AND DRIVING ASSIST METHOD
A driving assist device includes a control unit configured to acquire event position information that is position information about a vehicle when it is detected that a driver of the vehicle is in a looking aside state in the vehicle, as an event, and configured to present attention information calling for attention, to a driver who is driving toward a position indicated by the event position information.

The imaging unit 25 is one or more in-vehicle cameras. As the in-vehicle camera, for example, a front camera, a side camera, a rear camera, or an in-vehicle camera can be used. The imaging unit 25 takes an image from the second vehicle 20. That is, the imaging unit 25 captures an image of the outside of the second vehicle 20. The imaging unit 25 also captures an image of the interior of the second vehicle 20 such as the driver's seat of the second vehicle 20.
The input unit 26 is more than one input interface. As the input interface, for example, a physical key, a capacitive key, a pointing device, a touch screen provided integrally with a vehicle display, or a vehicle pickup can be used. The input unit 26 receives an input of information for the operation of the driving assistance device 32 from a user such as the driver of the second vehicle 20.
The output unit 27 is more than one output interface. As the output interface, for example, a car monitor or a car speaker can be used. As the vehicle-mounted display, for example, an LCD or an organic EL display can be used. The output unit 27 outputs information obtained by the operation of the driving assistance device 32 to the user.
2 in addition to FIG. 1, the operation of the driving assistance system 30 according to this embodiment will be described. The operation of the driving assistance system 30 corresponds to the driving assistance method according to this embodiment.

The processing from step S101 to step S104 is executed in the first vehicle 10.
In step S101, the control unit 11 of the information providing device 31 acquires a driver image of the first vehicle 10.
Specifically, the control unit 11 acquires an image including the head and eyeballs of the driver of the first vehicle 10 such as an image of the driver's seat of the first vehicle 10 from the imaging unit 15.
In step S102, the control unit 11 detects that the driver of the first vehicle 10 in the first vehicle 10 is watching as an event.
https://worldwide.espacenet.com/publicationDetails/description?CC=CN&NR=111347975A&KC=A&FT=D&ND=3&date=20200630&DB=&locale=en_EP
https://www.freepatentsonline.com/20200198655.pdf

AUTOMATIC DRIVING SYSTEM
An automatic driving system includes a driver monitor, a driver state determining unit, a first automatic driving controller, and a second automatic driving controller. The first automatic driving controller controls a first automatic driving mode for causing a vehicle to travel by automatic driving under a preset first traveling environment regardless of whether a driver is in a forward monitoring state. The second automatic driving controller controls a second automatic driving mode for causing the vehicle to travel by the automatic driving in a situation where the driver state determining unit determines, based on a driver state detected by the driver monitor, that the driver is in the forward monitoring state, and the vehicle is under a second traveling environment which is more complicated than the first traveling environment.

The driver state includes the driver's wakefulness level and physical condition, a motion associated with the driver's driving operation, and the like, and is detected by a plurality of sensors such as a visual sensor 41, a biological sensor 42, and the like, which are installed in the vehicle compartment. A camera, a near infrared LED, a radar, an ultrasonic sensor, or the like, which is installed in the vehicle compartment, is used as the visual sensor 41. Furthermore, 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.

The driver monitoring device 40 detects the driver's facial expression or visual-line direction, the driver's hand motion and the like by the visual sensor 41, and also detects biological information such as presence/absence of the driver's breathing, heart rate, blood pressure, body temperature, and brain waves by the biological sensor 42. As described later, the automatic driving control device 100 determines the driver's reaction to a forward monitoring request or a driving takeover request to the driver based on information from the driver monitoring device 40.

For instance, when the behavior of a visual line based on movement of a virtual image on a cornea caused by the driver's eye motion, a wakefulness level based on variation in the visual-line behavior and change in pupil area, biological information on the presence or absence of the driver's breathing, heart rate, blood pressure, body temperature, brain waves, etc., the driver's face direction, the driver's hand motion, etc., are detected as the driver state, the driver state determining unit 102 determines, based on these information, whether the driver has gazed forward. For instance, the driver state determining unit 102 determines that the driver has gazed forward in response to the forward monitoring request when the driver is in a normal health condition and is awake and the driver's face direction and visual-line direction are within set ranges.
https://patents.justia.com/patent/20200307641

TLS,
I was wondering if Honda could be working with Bosch on this as the Bosch Patent mentions object detection and attention@ [0032]
The determination unit 22 determines that a warning action is necessary when there is an object with a high possibility of collision in the traveling direction of the saddle-mounted vehicle 100 and the rider's attention is not properly paid, and at least that If one of them is not satisfied, it is determined that the warning operation is not necessary. When the determination unit 22 determines that the warning operation is necessary, the control unit 23 causes the notification device 30 to execute the warning operation.

and @ [0055]
1 Warning system, 11 Surrounding environment detection device, 12 Driving state detection device, 13 Helmet attitude direction detection device, 20 Processing device, 21 Acquisition unit, 22 Judgment unit, 23 Control unit, 30 Notification device, 100 saddle type vehicle, 101 Helmet.

I found a 2017 Bosch patent which looked to be measuring the pressure round the eyes as a method of determining Rider gaze but wondered if this may have be improved with the development of VR type technology and therefore potentially involve SEE.

51 For example, in the above, the object located in front of the saddle-type vehicle 100 is recognized by using the ambient environment detection device 11 that detects the surrounding environment in front of the saddle-type vehicle 100, and a warning operation is issued to the object. Although the case where the necessity is determined has been described, other than the saddle-type vehicle 100 by using the surrounding environment detection device 11 that detects the surrounding environment in other directions (side, rear, etc.) of the saddle-type vehicle 100. An object located in the direction of (side, rear, etc.) may be recognized, and the necessity of a warning operation for the object may be determined.

[0052]
Further, for example, in the above, the case where the determination unit 22 determines the necessity of the warning operation based only on the surrounding environment information and the helmet posture direction information has been described, but the determination unit 22 determines the surrounding environment information and the helmet posture. In addition to the directional information, other information different from them may be added to determine the necessity of the warning operation.

For example, other information may be information on the operating state of the rider's brakes. Further, for example, other information may be information on the traveling state (speed, deceleration, etc.) of the saddle-mounted vehicle 100. Further, for example, other information may be information on the line-of-sight direction of the rider, which is acquired according to the output of the line-of-sight direction detection device (not shown) provided on the helmet 101. Further, for example, other information is information on the line-of-sight direction of the rider acquired in response to the output of the helmet posture direction detection device 13, and the determination unit 22 determines the information on the line-of-sight direction of the rider and the helmet posture direction. The necessity of the warning operation may be determined by appropriately using the helmet posture direction information acquired according to the output of the detection device 13.

[0054]
Further, for example, in the above, the case where the step S102 is executed before the step S103 has been described, but the step S102 may be executed after the step S103.
That is, it may be determined whether or not there is an object with a high possibility of collision only when it is determined that the rider's attention is not properly paid.
[0055]
1 Warning system, 11 Surrounding environment detection device, 12 Driving state detection device, 13 Helmet attitude direction detection device, 20 Processing device, 21 Acquisition unit, 22 Judgment unit, 23 Control unit, 30 Notification device, 100 saddle type vehicle, 101 Helmet.

PROCESSING DEVICE AND PROCESSING METHOD FOR WARNING SYSTEM OF SADDLE-RIDING TYPE VEHICLE, WARNING SYSTEM OF SADDLE-RIDING TYPE VEHICLE AND SADDLE-RIDING TYPE VEHICLE
To provide a processing device and a processing method, a warning system and a saddle-riding type vehicle which can make both improvement in safety and improvement in comfort of a rider compatible.SOLUTION: A processing device (20) comprises: an acquisition part that acquires surrounding environment information corresponding to output of a surrounding environment detection device (11) during travelling of a saddle-riding type vehicle (100); a determination part that determines necessities for warning operation to a rider that a warning system (1) is made to perform; and a control part that makes a notification device (30) execute the warning operation when the determination part determines that the warning operation is necessary. The acquisition part further acquires helmet posture/direction information corresponding to output of a helmet posture/direction detection device (13) during travelling of the saddle-riding type vehicle (100), and the determination part determines the necessities for the warning operation on the basis of the surrounding environment information and the helmet posture/direction information

[0032]
The determination unit 22 determines that a warning action is necessary when there is an object with a high possibility of collision in the traveling direction of the saddle-mounted vehicle 100 and the rider's attention is not properly paid, and at least that If one of them is not satisfied, it is determined that the warning operation is not necessary. When the determination unit 22 determines that the warning operation is necessary, the control unit 23 causes the notification device 30 to execute the warning operation.
[0039]
In step S103, the determination unit 22 determines whether or not the rider's attention is focused on the traveling direction or forward based on the information acquired in step S101. If Yes, the process proceeds to step S104, and if No, the process proceeds to step S105.
[0049]
Preferably, the helmet attitude direction detecting device 13 includes a camera. Further, the helmet posture direction detection device 13 includes a lidar sensor. With such a configuration, the detection accuracy in the posture direction of the helmet 101 is improved.
https://worldwide.espacenet.com/publicationDetails/description?CC=JP&NR=2020090202A&KC=A&FT=D&ND=3&date=20200611&DB=&locale=en_EP

PROCESSING APPARATUS AND PROCESSING METHOD FOR SYSTEM FOR SUPPORTING RIDER OF SADDLE-RIDING TYPE VEHICLE, SYSTEM FOR SUPPORTING RIDER OF SADDLE-RIDING TYPE VEHICLE, AND SADDLE-RIDING TYPE VEHICLE
To obtain a support apparatus and a support method, a rider support system, and a saddle-riding type vehicle that can improve safety of a rider.SOLUTION: A processing apparatus (20) comprises: an acquisition unit that acquires information on an ambient environment of a saddle-riding type vehicle (100); a determination unit that determines the necessity of a support operation for supporting the driving of a rider in which a rider support system (1) is caused to produce; and a control unit that, when the determination unit determines that the support operation is necessary, causes an execution device (P) to execute the support operation. The determination unit determines the necessity of the support operation by using a rear-end collision index value that is an index value of the likelihood of a collision between the driving saddle-riding type vehicle (100) and the following vehicle, and a safety index value that is an index value of the degree of safety in the relative distance between the driving saddle-riding type vehicle (100) and the following vehicle.

05 The processing device according to the present invention is a processing device for a rider support system for a saddle-type vehicle, and includes an acquisition unit that acquires ambient environment information of the saddle-type vehicle and the surroundings acquired by the acquisition unit. When the determination unit determines the necessity of the support operation for supporting the rider's driving caused by the rider support system based on the environmental information, and when the determination unit determines that the support operation is necessary. The execution device includes a control unit for executing the assisting operation, the ambient environment information includes information on the surrounding environment behind the saddle-type vehicle, and the determination unit includes the ambient environment behind the saddle-type vehicle. The collision index value, which is an index value that depends on the information of the above, and is the index value of the collision possibility of the following vehicle with respect to the saddle-type vehicle that is running, and the index value that depends on the information of the surrounding environment behind the vehicle. The necessity of the support operation is determined by using the stability index value, which is an index value of the degree of stability of the relative distance of the following vehicle with respect to the saddle-type vehicle that is running.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=JP&NR=2020091672A&KC=A&FT=D&ND=3&date=20200611&DB=&locale=en_EP

CONTROLLER AND CONTROL METHOD
The present invention provides a controller and a control method capable of achieving appropriate cornering of a saddled vehicle during execution of adaptive cruise control. During the execution of adaptive cruise control for driving a saddled vehicle according to the distance from the saddled vehicle to the vehicle ahead, the movement of the saddled vehicle, and the instruction of the driver, the controller and control method according to the present invention control, on the basis of the lateral acceleration of the saddled vehicle, at least one among the braking force distribution, which is the front-rear wheel distribution of the braking force generated at the wheels of the saddled vehicle, and the driving force distribution, which is the front-rear wheel distribution of the driving force transmitted to the wheels of the saddled vehicle.

27 . The inter-vehicle distance sensor 4 1 detects the distance from the motor cycle 100 to the vehicle in front. The inter-vehicle distance sensor 4 1 may detect other physical quantities that can be substantially converted into the distance from the motor cycle 100 to the vehicle in front. Here, the vehicle in front means a vehicle located ahead of the motorcycle 100, and not only the vehicle closest to the motor cycle 100 on the same lane as the lane of the motorcycle 100. , Vehicles in front of a plurality of motorcycles from the motor cycle 100 or vehicles traveling in a lane adjacent to the driving lane of the motor cycle 100, etc. may be included. For example, when there are a plurality of vehicles ahead of the motorcycle 100, the inter-vehicle distance sensor 4 1 is based on the locus determined as the traveling locus of the motor cycle 100 and the behavior of the plurality of vehicles. Zu \\ 0 2020/039301? € 1/16 2019/056824 Select the vehicle in front for which the distance from the motorcycle 100 is to be detected. In this case, the adaptive cruise control described later is executed using the detection result of the distance from the motorcycle 100 to the preceding vehicle selected in this way.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020039301A1&KC=A1&FT=D&ND=3&date=20200227&DB=&locale=en_EP

SADDLED VEHICLE
Provided is a saddled vehicle provided with an information display unit (37) that displays information of a front-running vehicle (B1) followed by an own vehicle (M). A positional relationship between the own vehicle (M) and the front-running vehicle (B1) is recognized, and, in the case of a change in the positional relationship, a display mode of the front-running vehicle (B1) on the information display unit (37) is changed.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020194694A1&KC=A1&FT=D&ND=3&date=20201001&DB=&locale=en_EP
https://www.freepatentsonline.com/WO2020194694A1.pdf

DRIVING ASSISTANCE SYSTEM FOR SADDLE-RIDE TYPE VEHICLES
A driving assistance system for saddle-ride type vehicles that comprises: a line-of-sight direction recognition unit (150) that recognizes the line-of-sight direction (De) of a driver (J); an object direction recognition unit (400) that recognizes the direction (Do) of an object (O) in the vicinity of the host vehicle with respect to the driver (J); and a light source (540) that emits light when the line-of-sight direction (De) and the direction (Do) of the object (O) with respect to the driver (J) are different from each other.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020194686A1&KC=A1&FT=D&ND=3&date=20201001&DB=&locale=en_EP
https://www.freepatentsonline.com/WO2020194686A1.pdf

SYSTEM AND METHOD FOR PRESENTATION AND CONTROL OF AUGMENTED VEHICLE SURROUND VIEWS
Methods and systems for presentation and control of an augmented virtual vehicle view with surround view imaging, that include generating a stitched image view based on surround view image data for a vehicle and generating a pose estimation for the vehicle, wherein the pose estimation provides a vehicle position and a vehicle orientation relative to the stitched image view. In one or more examples, the methods and systems include augmenting the stitched image view to include one or more graphical elements based on the pose estimation for the vehicle, presenting a graphical display of the stitched image view including the one or more graphical elements and a vehicle avatar. Further, in at least one example, the methods and systems may include detecting position commands for a position of the vehicle avatar within the graphical display and updating the avatar position and iconography in response to the position commands.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020302696A1&KC=A1&FT=D&ND=3&date=20200924&DB=&locale=en_EP
https://www.freepatentsonline.com/20200302696.pdf

Microsoft partners with Qualcomm to help developers make ARM-compatible apps for Windows 10
https://www.gizmochina.com/2020/09/23/microsoft-qualcomm-help-developers-arm-windows-10/

Not sure if this is relevant to what CB is talking about but looks in the ball park so here goes.
https://telematicsnews.info/2020/07/07/opensynergy-collaborates-with-google-and-qualcomm-on-virtualizing-android-automotive-os/
https://www.opensynergy.com/

OFF-AXIS GAZE TRACKING IN IN-VEHICLE COMPUTING SYSTEMS
Embodiments are disclosed for gaze tracking with an in-vehicle computing system. In one example, an in-vehicle computing system of a vehicle includes a camera, a light source, a display, a processor, and a storage device storing instructions executable to direct light from the light source to an eye of one or more occupants of the vehicle, receive, at the camera, light reflected from the eye of the one or more occupants of the vehicle, determine a gaze direction of each of the one or more occupants of the vehicle, and operate one or more of the in-vehicle computing system and another vehicle system based on the determined gaze direction.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020301507A1&KC=A1&FT=D&ND=3&date=20200924&DB=&locale=en_EP
https://patents.justia.com/patent/10712816
https://www.freepatentsonline.com/20200301507.pdf

Elon

In future updates the dark lower 1/4 of the display might well come alive with 'enhanced sensing' capabilities.
Volkswagen ID3 1st edition full review - finally a real rival has landed
19.10m
https://www.youtube.com/watch?v=1GsXSO97hr8

https://venturebeat.com/2020/09/17/sifive-hires-qualcomm-exec-as-ceo-for-risc-v-alternatives-to-nvidia-arm/