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METHOD AND APPARATUS FOR MANAGING OPERATOR-SELECTABLE SETTINGS ON-VEHICLE
A vehicle including an advanced driver-assistance system (ADAS) and operator-adjustable devices is described. Controlling the vehicle includes identifying a vehicle operator, and capturing a plurality of operator-selectable settings associated with the plurality of operator-adjustable devices for the vehicle operator. A base profile and a second profile are determined for the vehicle operator based upon the first subset associated with non-autonomous operation of the vehicle and the second subset associated with ADAS, respectively. The plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the base profile when the vehicle is operating in the non-autonomous mode, and the plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the second profile when the vehicle is being controlled at least in part by one or more of the subsystems of the ADAS.

[0025] In addition, the HMI system 30 may be employed to control operation of the infotainment system 14, access and control an on-board navigation system, etc. The HMI system 30 monitors operator requests and provides information to the operator including status of vehicle systems, service and maintenance information. The HMI system 30 communicates with and/or controls operation of a plurality of in-vehicle operator interface device(s). The HMI system 30 may also communicate with one or more devices that monitor biometric data associated with the vehicle operator, including, e.g., eye gaze location, posture, and head position tracking, among others. The HMI system 30 is depicted as a unitary device for ease of description, but may be configured as a plurality of controllers and associated sensing devices in an embodiment of the system described herein. The in-vehicle operator interface device(s) can include devices that are capable of transmitting a message urging operator action, and can include an electronic visual display module, e.g., a liquid crystal display (LCD) device, a heads-up display (HUD), an audio feedback device, a wearable device, and a haptic device such as a haptic seat.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020398860A1&KC=A1&FT=D&ND=3&date=20201224&DB=&locale=en_EP

[0029] In another aspect, the technology relates to passively detecting driver fatigue of an assist driver in a vehicle configured to operate in a fully or partially autonomous mode, or configured for manual operation. Gaze patterns may serve as a reliable indicator of cognitive states, such as for example distractions. Gaze patterns may also serve as a reliable indicator of fatigue. For instance, a fatigued driver typically does not vigilantly monitor the road but rather gazes in one direction, e.g., straight ahead. An autonomous vehicle includes sensors and systems that can detect objects, etc., surrounding the vehicle and derive scene understanding with respect to the vehicle, and may be able to detect the direction of the driver's gaze. As such, one or more computing devices of the vehicle may determine one or more expected gaze direction, including an expected or normative gaze direction, pattern of directions, group of directions or sequence of directions (collectively referred to herein as “gaze direction or patterns”), for a driver based on the derived scene understanding. If the driver is not looking in an expected gaze direction or pattern on one or more occasions, such as if the driver's gaze patterns are not well correlated with an expected gaze pattern, this may serve as an indicator of passive fatigue.

[0030] For example, if a scene understanding derived from the vehicle's perception system indicates that based on naturally occurring stimuli outside the vehicle a driver should be looking in a particular direction, the actual gaze direction or pattern of the driver may then be compared to that particular direction or pattern to provide a measure of the driver's attentiveness and thus passive fatigue. As a further example, if the driver is making a right turn, the driver would be expected to be mainly looking to the left for oncoming traffic. However, if the detected gaze direction or pattern of the driver indicates that the driver is looking straight ahead that may signal that the driver is no longer sufficiently engaged in the driving task (e.g., due to low vigilance or fatigue). As the system can tell when and where drivers are expected to be looking, it allows for dynamically assessing a driver's vigilance and/or fatigue passively. The actual gaze direction (or pattern of gaze direction) may be detected through use of cameras within the compartment of the vehicle.

Systems And Methods For Detecting And Dynamically Mitigating Driver Fatigue
This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

[0010] In another aspect, the technology comprises a method for managing driver inattention. The method may comprise acquiring, by one or more processors, images of one or both of a driver's eyes to determine an actual gaze direction or pattern of the driver; determining, by the one or more processors, an expected gaze direction or pattern of the driver based on a planned route of the vehicle and objects in an external environment of the vehicle; and comparing, by the one or more processors, the actual gaze direction or pattern to the expected gaze direction or pattern. The method also comprise taking corrective action upon determining that the driver's visual scanning of the driving environment indicates driver inattention.

[0011] Further in accordance with this aspect of the technology, determining whether the driver's visual scanning of the driving environment deviates from the expected gaze direction or pattern may comprise using a normative model based on environmental statistics to determine the expected gaze direction or pattern given a planned driving path. Determining whether the driver's visual scanning of the driving environment deviates from the expected gaze direction or pattern may also comprise using a normative model based on human visual behavior statistics to determine the expected gaze direction or pattern.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2021001864A1&KC=A1&FT=D&ND=3&date=20210107&DB=&locale=en_EP
https://www.freepatentsonline.com/20210001864.pdf

SYSTEM MATCHING DRIVER INTENT WITH FORWARD-REVERSE GEAR SETTING
[0017] Figure 1 is a schematic view of a driver monitor 1 12. The driver monitor may determine a driver profile and driver baseline as described elsewhere in this application. In accomplishing these tasks, the driver monitor 1 12 may be in communication with external sensors 1 14. The external sensors may monitor the environment surrounding the vehicle as the vehicle is stopped or as the vehicle proceeds along its route. The external sensors may include Lidar 122, radar 124, and cameras 126. However, it is understood that other external sensing technologies may be used, for example, ultrasonic sensors or other distance or environmental measuring sensors within the vehicle. In some examples, the sensors may include temperature sensors, moisture sensors, as well as, various features that may be derived from sensors such as the camera. These features may include whether there is a snowy condition, the amount of glare from the sun, or other external environmental conditions. The driver monitor system 1 12 may use input from the external sensors 1 14 to provide environmental context to the driver monitor 1 12 when determining the vehicle profile and/or baseline. The driver monitor 1 12 may also be in communication with an occupant monitoring sensors system 1 16. The occupant monitoring system 1 16 may include cameras 142, biosensors 144, as well as other sensors 146. The cameras may be mounted in different positions, orientations, or directions within the vehicle to provide different viewpoints of occupants in the vehicle. The cameras may be used to analyze gestures by the occupants or determine the positon and/or orientation of the occupant, or monitor indications of the occupant such as facial features indicative of emotion or condition. The biosensors 144 may include touch sensors for example, to determine if the driver is touching a certain control such as the steering wheel or gear shift. The biosensors 144 could include a heart rate monitor to determine the heart rate of the passenger, as well as, other biological indications such as temperature or skin moisture. In addition, other sensors 146 may be used such as presence, absence or position sensors to determine for example, if the occupant is wearing a safety belt, a weight sensor to determine the weight of the occupant. The driver monitor 1 12 may use the occupant monitoring data from the occupant monitoring sensor systems to determine the driver profile and/or baseline.
https://worldwide.espacenet.com/publicationDetails/description?CC=WO&NR=2020257478A1&KC=A1&FT=D&ND=3&date=20201224&DB=&locale=en_EP
https://www.freepatentsonline.com/WO2020257478A1.pdf

Apple appointment10 Jan 2020 19:47
Craig Ogden
Senior Project Manager at Seeing Machines
https://www.linkedin.com/in/craigogdenoz/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAALZI_QBJioiIsv4hk1CHeREOrr7g5RDX1c

History;
Engineering Project Manager @ Apple
Dates Employed
May 2017 – Oct 2019
Employment Duration
2 yrs 6 mos
Location
Cupertino, California
- Managed new product introduction for apple hardware, with full ownership of the complete development schedule from design concept to coordinating project hand off to operations for product ramp
- Lead the coordination of cross-functional team engagement of hardware design, software, firmware, electrical, audio, RF design, human factors and operations.
- Creation and maintenance of overall project roadmap and managing the development budget for soft goods products
- Facilitated major issue list meetings, tracking and driving timely issue resolution by bringing together key stakeholders for decision making
- Working closely with the iPhone system team to manage and support their development cycle and allocate hardware for reliability testing and SW development.
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Title
Engineering Project Manager @ Apple
Dates Employed
Mar 2015 – May 2017
Employment Duration
2 yrs 3 mos
Location
San Francisco Bay Area
- Delivery lead for overall project management for hardware engineering interfacing with SW development teams
- Drove daily scrum meetings, ensuring bi-weekly sprint activities are on track to meet project deliverables and supported HW and SW demonstrations to the executive team
- Managed multiple proto-type HW vendors, created all SOW’s and rigorously tracked their schedules and spend ensuring proto-build milestones and budgets were met.
- Conducted bi-weekly executive reviews, reporting out overall project health and flagging high risk issues requiring support/attention
- Drove the operations side of data collection, managing HW vendors for an array of sensors including camera’s, radar, LIDAR, IMU’s and compute to input to the data pipeline for the project’s machine learning effort

TLS.. That's just the beginning, a minor inconvenience compared to the brain Chip you'll have to have implanted to get on the team for your next promotion. The glass ceiling becomes the silicon ceiling.

Telecommunications - enabled semitransparent thought- directed cognitive and conceptual communication linkage method for a workplace brain/cognitive education, training, and augmentation program

A method of semitransparent thought-directed cognitive linkage that facilitates a workplace brain/cognitive training and augmentation program whereby following the successful completion of a computer system's regular cognitive/behavioral biometric authentication/access management process, selected participants who have been recognized and authenticated take part in a separate and distinct supplemental program while they are cognitively and conceptually linked, allowing the participants to transfer information and learning between and among other program participants on how they respond to certain stimuli that includes unconscious behavior, demonstrated preferences, solving techniques, and other implicit learning and knowledge they may not consciously be aware they possess.

[0122] The method of brain/cognitive training and augmentation disclosed herein democratizes the digital divide somewhat instead of widening the gap. It addresses concerns relating to a stratified human race based on those who can afford brain chip augmentation and those who cannot. The creation of the new type of thought-directed simulated reality brought about by this new method of conduit conveying mental content between people—readers of the variables “extract” their own level of meaning and understanding of the conceptual message that is being delivered from the conceptual narrative—and then they are exposed to the reality of their interpretation, perception, and creative thinking by sharing their responses with the other participants in level two processing. As shown by the conceptual narrative of the example variables, the creation of the thought-directed simulated reality can play an influential role in our ability to understand perspectives other than our own at the current moment without the threat of confrontation that could for instance cause us to take an action, like donating money to a worthy cause as explained later in the section relating to level three processing. That's the reason for learning the basics about analytics; how to analyze past data to predict and impact future results. Scientists have been working on understanding the human mind for centuries, but recent improvements in brain related technology have given us a picture of the brain that improves our understanding tremendously.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020234605A1&KC=A1&FT=D&ND=3&date=20200723&DB=&locale=en_EP

Method for assisting a driver with regard to traffic-situation-relevant objects and motor vehicle.
A method is provided for assisting a driver of a motor vehicle in a traffic situation with regard to objects relevant to the traffic situation. The motor vehicle has at least one environment sensor directed towards the forefield of the motor vehicle, at least one driver sensor designed to detect the line of sight and fixation of the driver's eyes, and at least one headlight having a controllably variable spatial illumination pattern. The method includes detecting, classifying, and locating objects in the forefield of the motor vehicle to determine a first object list having the object data associated with the detected objects. The method also includes determining objects, which were detected and not detected by the driver, in order to generate a second object list of undetected objects. The method also includes illuminating the at least one illuminated object in a targeted manner using the at least one headlight to notify the driver about the illuminated object.

The invention is therefore based on the object of providing a possibility for improved assistance for the driver in the detection of objects in the vicinity of the motor vehicle, in particular in the forefield of the motor vehicle.

To achieve this object, the following steps are provided according to the invention in a method of the type mentioned at the outset:

detecting and classifying, and locating objects in the forefield of the motor vehicle in sensor data of the at least one environment sensor to determine a first object list having the object data associated with the detected objects,
determining objects detected and not detected by the driver by comparing the first object list with directions of fixation determined from the sensor data of the driver sensor in order to generate a second object list of undetected objects,
when a notification condition for at least one illuminated object in the second object list is met, illuminating the at least one illuminated object in a targeted manner by means of the at least one headlight to notify the driver about the illuminated object.
https://worldwide.espacenet.com/publicationDetails/biblio?II=5&ND=3&adjacent=true&locale=en_EP&FT=D&date=20201217&CC=US&NR=2020391760A1&KC=A1
https://www.freepatentsonline.com/20200391760.pdf
https://patents.justia.com/patent/20200391760

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