Member Info for johnchucka

https://www.marketscreener.com/quote/stock/CONTINENTAL-435902/news/Continental-Transmission-Control-System-of-Continental-for-Great-Wall-Motor-s-7DCT-Gearbox-24468391/

These Patents describe very similar actions by two companies working collaboratively imo . I imagine as with many of these closely aligned and similarly described patents both companies are working together cheek by jowl and patent lawyers have already made enough money to buy a new thesaurus.

Both this and the Great wall Patent have a similar objective imo and both companies are collaborating.

CONTINENTAL POWERTRAIN USA LLC
DRIVER BEHAVIOR LEARNING AND DRIVING COACH STRATEGY USING ARTIFICIAL INTELLIGENCE .
A method (400) of providing a suggested driving adjustment (216a) in real time to a driver (30) of a vehicle (100) is disclosed. The method includes receiving one or more direct driver inputs (111) from a vehicle control system (110) and receiving sensor data (122, 122a, 122b) from a vehicle sensor system (120). The method includes determining a predicted driver behavior (215) based on the direct driver inputs and the sensor data. In addition, the method includes determining an ideal driver behavior (213) based on the direct driver inputs and the sensor data and determining a behavior difference (219) between the predicted driver behavior and the ideal driver behavior. The method also includes determining the suggested driving adjustment based on the behavior difference. Additionally, the method includes sending instructions (217, 217a, 217b) to notify the driver of the suggested driving adjustment to improve vehicle efficiency and/or performance.

[0069] Table 2 below shows driver behavior classification and learned driver model measurable characteristics. In other words, the table shows measurable inputs that are considered by both the ideal driver behavior algorithm 212 and the behavior learning algorithm 214 when learning the driver behavior. Several factors influence the behavior learning algorithm 214 such as, but not limited to, three-dimensional map (slope/curve, crossing, etc.), traffic flow (traffic level and density, front and/or rear), road surface (weather), time of day, driver preview (distance and vision), and number of surrounding objects (in the field of view of the driver 30). As shown, some of the direct driver inputs 111 may include, but are not limited to, acceleration and brake pedal input velocities, steering input/angle deviations, and time gap between accelerator/brake pedal application and frequency. The sensor system 120 may receive sensor information that includes, but is not limited to, longitudinal vehicle acceleration and deceleration, average deviation from speed limit, and vehicle following distance (for example, at different vehicle speeds). Additionally, the sensor system 120 may also receive sensor information associated with a driver’s focus. This sensor information may include, but is not limited to, steering input/angle deviations, and time gap between accelerator/brake pedal application, driver eyes monitoring (eyes on the road), average deviation from speed limit, and vehicle following distance (for example, at different vehicle speeds).

https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2020023746A2&KC=A2&FT=D&ND=4&date=20200130&DB=&locale=en_EP

Continental : Transmission Control System of Continental for Great Wall Motor's 7DCT Gearbox
https://tinyurl.com/y6

SYSTEMS AND METHODS FOR PREDICTING TRAVEL DESTINATION OF AN AUTOMOBILE BASED ON ATTIRE WORN BY INDIVIDUAL
Exemplary embodiments described in this disclosure are generally directed to systems and methods for predicting a travel destination of an automobile based at least in part on identifying a category of an attire worn by an individual who is an occupant of the automobile or is moving towards the automobile with the intention of entering the vehicle. The attire may be one of various categories such as a business attire category, a business-casual with tie category, a casual CEO attire category without tie , or a social attire category. The travel destination may be additionally predicted based on other factors such as an attire worn by a co-occupant of the automobile and historical data associated with the occupant and/or the co-occupant. The historical data may include a record of times at which the occupant traveled to a particular destination and the attire worn by the occupant when traveling to the destination.

[0002] Automobile manufacturers are constantly striving to offer in their automobiles various features that make their products more attractive to buyers. These features are typically directed at providing comfort, convenience, and satisfaction to drivers and passengers. For example, some automobiles have Bluetooth® enabled systems that allow a driver to use voice commands to perform various actions such as making a hands-free phone call, controlling a radio using voice commands, or configuring a navigation system. As another example, some automobiles have a computer system that monitors driving characteristics of a driver, such as a minor child for example, and controls a speed of the car in accordance with some rules programmed into the computer system. In yet another example, some automobiles include sensors that monitor a driver for signs of drunkenness or sleepiness. Upon detecting such a condition, a computer system that is coupled to the sensors may operate a buzzer to alert the driver, or may force the automobile to come to a halt.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020249046A1&KC=A1&FT=D&ND=3&date=20200806&DB=&locale=en_EP

Ministry of Smart

METHOD AND APPARATUS FOR EVALUATING DRIVING SITUATION OF DRIVER, AND MACHINE-READABLE STORAGE MEDIUM
Mankind is facing the dilemma of energy shortage and environmental pollution. Countries are increasingly calling for the development of new energy. China is vigorously supporting the development of the new energy automobile industry. In particular, pure electric vehicles are the country's key development direction as the automobile industry. Electric vehicles have ideal power characteristics unmatched by traditional fuel vehicles-vehicles start faster, accelerate continuously, linearly and have better dynamics. When people enjoy the excellent acceleration performance of electric vehicles, they often overlook the point that power and economy cannot have both. Intense driving will worsen the economy of the entire vehicle, resulting in a significant reduction in the mileage of the vehicle, which is also poking the pain points of car owners and the entire industry. Therefore, it is necessary to introduce a driving evaluation function to guide drivers to drive economically and cultivate good driving habits.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200806&CC=WO&NR=2020156266A1&KC=A1

GM FINANCE | MELBOURNE
About the opportunity
Role Description
Underpinned by more than 20 years of scientific research into human behaviour in real-time, real-world scenarios, Seeing Machines has developed the world's most advanced AI driven safety technology. This technology is the bedrock that enables new forms of intelligent machines to see, understand, assist and ultimately protect people who are using them. As our world rapidly evolves, our experienced team continue to stay one step ahead with technology that enhances safety across all transport sectors.

Our Finance team collaborates with all business units, supporting and advising their strategic and operational decision-making through insights that drive better business performance.

This is a genuine career opportunity in which you will advise the business on its finance and accounting activities in multiple global jurisdictions, partnering with the business to support strategy and embed financial competency.

Reporting to the CFO, you will lead all aspects of financial management, including corporate accounting, regulatory and financial reporting, budget and forecast preparation, as well as development of internal control policies and procedures. This role will also be responsible for financial risk management and encompasses all locations that the company operates in: currently Australia, United States of America, United Kingdom, Japan, and Germany though more locations are envisaged.

As GM - Finance of a company at the forefront of global innovation, you will support the business unit to raise standards in key operational and strategic decision areas through:

leading the finance department, setting goals and objectives and designing a framework for these to be met
preparing and publishing timely monthly financial statements for management and Board reporting, weekly flash reporting and Annual and half yearly external financial statements reporting
managing all finance functions from payroll to budgets and forecasts, modelling, tax obligations and technical advice on international accounting issues
developing and documenting business processes and accounting policies to maintain and strengthen internal controls
developing position papers to support audited accounts
https://seeingmachines.springboard.com.au/jobtools/jncustomsearch.searchResults?in_organid=18900&in_jobDate=All

Walter Bloomberg@DeItaOne
FRENCH NEW CAR ORDERS ON TRACK TO BE HIGHER IN AUGUST THAN OVER THE SAME MONTH A YEAR AGO - SOURCES

SYSTEMS AND METHODS FOR CONTROLLING A VEHICLE BASED ON DRIVER ENGAGEMENT
Systems and methods for controlling a vehicle based on driver engagement are disclosed. In one embodiment, a method of controlling a vehicle includes determining, using driver data from one or more driver sensors, a driver state estimation of a driver of the vehicle, determining, using environment data from one or more environmental sensors, one or more environment anomalies within an environment of the vehicle, and determining an anomaly category for at least one of the one or more environment anomalies. The method further includes, based on the driver state estimation and one or more anomaly categories, selecting a failure mode, based on the failure mode, selecting at least one failsafe action, and determining an operation of the vehicle in accordance with the failure mode.

[0031] Still referring to FIG. 1, the one or more sensors 120 may generally include the various sensors described herein, including, for example, one or more driver sensors 122 capable of monitoring the posture and physiological conditions of the driver. The type of driver sensors 122 is not limited by this disclosure. The sensors may be worn by the driver, or embedded within the cabin of the vehicle. As described in more detail below, driver behavior sensors are capable of determining the posture and activities of the driver, and the driver physiological sensors are capable of generating physiological information of the driver. Non-limiting driver sensors 122 include an imaging sensor, a camera, an infrared sensor, a gaze detector, a pressure sensor, a proximity sensor, a wearable sensor, a heartrate sensor, a blood glucose sensor, a magnetoencephalography (MEG) sensor, a blood pressure sensor, a skin conductance sensor, and a respiration sensor, and a blood oxygenation sensor.

[0032] The one or more sensors 120 may also include one or more environment sensors 124 capable of generating data regarding features and objects within the environment surrounding the vehicle. The type of environmental sensor 124 is not limited by this disclosure. Non-limiting example environment sensors include a camera, an infrared sensor, a lidar sensor, a radar sensor, and a proximity sensor. The one or more environmental sensors 124 should be capable of returning data regarding features (e.g., roadway features such as route, terrain, road markings/lines, curves, and the like) and objects (e.g., stop signs, stop lights, pedestrians, other vehicles, bicyclists, and the like). In some embodiments, the one or more environmental sensors 124 may also detect weather, such as rain, fog, snow and the like.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020247420A1&KC=A1&FT=D&ND=3&date=20200806&DB=&locale=en_EP

With this investment, Hyundai Mobis aims to work with StradVision for developing advanced camera detection technology required to build safe self-driving systems. Cooperating with startups possessing promising technology is also meaningful in terms of shared growth.

StradVision has developed a software solution that uses deep learning to recognize pedestrians and even texts on road signs. Established in 2014, the ICT firm is armed with experts specializing in software—the majority of its employees have Master’s or doctoral degrees.

The performance of the deep learning-based image detection technology developed by StradVision is regarded as top-notch in the field of front detection camera. The deep learning-based object detection technology is excellent at accurately recognizing not only distant objects but also overlapped ones; it can distinguish one object from another—for instance, between vehicles and pedestrians or between pedestrians and bicycles—and utilizes that information as data for safe driving.

It can also read the movement patterns of vehicles and the posture of pedestrians and predict a situation in advance. StradVision is also deemed to be superior to other domestic and foreign firms utilizing deep-learning image detection technology in terms of a high-efficiency algorithm optimized for vehicles.

StradVision possesses 14 patents, including a method for rapidly reading texts embedded in images, fast parallel data processing and detection accuracy enhancement technology, with 10 of them having been registered in the U.S.

As an automotive supplier with skilled manpower and know-how, Hyundai Mobis is expected to make great strides in deep learning camera detection through technical synergy with StradVision.

With this investment, the firm aims to secure its own technology in camera following its achievement in radar. Paying attention to deep learning, which is the core of AI technology, the firm will strive to gain a competitive edge in sensor technology for self-driving vehicle.

The deep learning-based image detection technology is attracting the spotlight especially as the machine learns accumulated data and finds answers by itself. Recently, many companies are competing for developing image detection technology based on deep learning. No one has succeeded in commercializing this technology as of yet, and it is expected to take 4 to 5 years until its commercialization. Hyundai Mobis plans to develop a deep learning-based camera by 2020, thereby securing unmatched competitiveness in sensor technology for self-driving.

Hyundai Mobis Invests in an AI Sensor Startup for Developing Deep Learning Cameras.

The deep learning-based image detection technology is attracting the spotlight especially as the machine learns accumulated data and finds answers by itself. Recently, many companies are competing for developing image detection technology based on deep learning. No one has succeeded in commercializing this technology as of yet, and it is expected to take 4 to 5 years until its commercialization. Hyundai Mobis plans to develop a deep learning-based camera by 2020, thereby securing unmatched competitiveness in sensor technology for self-driving.
https://www.companynewshq.com/company-news/automotive-company-news/hyundai-mobis-invests-in-an-ai-sensor-startup-for-developing-deeplearning-cameras/

POSTURE INFORMATION BASED PEDESTRIAN DETECTION AND PEDESTRIAN COLLISION PREVENTION APPARATUS AND METHOD
An apparatus for activating a pedestrian detection and collision mitigation system (PDCMS) of a vehicle includes: a front detection sensor detecting a presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least any one of a speed, an acceleration, a steering angle, a steering angular velocity, or a pressure of a master cylinder of the vehicle; an electronic control unit activating a PDCMS function based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by a control of the electronic control unit.

[0058] The front detection sensor 200 may accurately recognize a pedestrian by setting a region of interest (ROI) in an image in front of a vehicle acquired through a camera. A method for determining a pedestrian based on the ROI setting of the front detection sensor 200 according to the embodiment of the present disclosure will be described in detail with reference to FIG. 4. The front detection sensor 200 may extract characteristics of obstacles detected in front of the vehicle to identify objects and detect various objects such as vehicles on a roadside as well as pedestrians. The front detection sensor 200 may detect even parts configuring a pedestrian as well as the overall appearance of the pedestrian to detect the pedestrian even when only a part of the pedestrian covered by various objects such as vehicles on a roadside is detected. Further, the front detection sensor 200 may detect gaze information of a pedestrian and a distance and a relative speed between a pedestrian and a vehicle when an object in front of the vehicle is determined as the pedestrian. The front detection sensor 200 transmits the detected information on the pedestrian to the electronic control unit 400.
https://worldwide.espacenet.com/publicationDetails/biblio?II=1&ND=3&adjacent=true&locale=en_EP&FT=D&date=20191226&CC=US&NR=2019389458A1&KC=A1

METHOD AND DEVICE FOR SIGNALING PRESENT DRIVING INTENTION OF AUTONOMOUS VEHICLE TO HUMANS BY USING VARIOUS V2X-ENABLED APPLICATION
A method for signaling a driving intention of an autonomous vehicle is provided. The method includes steps of: a driving intention signaling device (a) detecting a pedestrian ahead of the autonomous vehicle using surroundings video images, and determining whether the pedestrian crosses a roadway using a virtual crosswalk; (b) if the pedestrian crosses the roadway, estimating a crosswalking trajectory, corresponding to an expected path of the pedestrian, by referring to a moving trajectory of the pedestrian, setting a driving plan of the autonomous vehicle referring to driving information and the crosswalking trajectory, and allowing the autonomous vehicle to self-drive by the driving plan; and (c) determining whether the pedestrian pays attention to the autonomous vehicle by referring to gaze patterns and, if not, allowing delivery of the driving intention to the pedestrian and/or a nearby driver, via an external display and/or an external speaker.

[0011] As one example, at the step of (c), the driving intention signaling device performs a process of determining the specific pedestrian as not paying attention to the autonomous vehicle by referring to the gaze patterns of the specific pedestrian, (i) if an accumulated sum of one or more gaze time sections during a preset reference time is equal to or less than a first preset threshold wherein each gaze time section represents a time while a gaze of the specific pedestrian stays on the autonomous vehicle, or (ii) if the gaze of the specific pedestrian stays off the autonomous vehicle for a time equal to or greater than a second preset threshold after switching between staying on the autonomous vehicle and staying off the autonomous vehicle.
https://worldwide.espacenet.com/publicationDetails/biblio?II=5&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200806&CC=US&NR=2020247434A1&KC=A1

MOBILEYE VISION TECHNOLOGIES LTD 2020-07-16
NAVIGATION BASED ON SENSED LOOKING DIRECTION OF A PEDESTRIAN
The present disclosure relates to systems and methods for host vehicle navigation. Disclosed systems and methods may receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one pedestrian in the environment of the host vehicle; identify eyes of the at least one pedestrian represented in at least one of the plurality of images; and determine, based on analysis of the at least one of the plurality of images and based on the identification of the eyes of the at least one pedestrian .
https://tinyurl.com/y2bcmthj

A method for measuring and calibrating a drive's front field of vision.
The invention relates to a front field of view requirement and a checking method of a driver of an automobile. A method for measuring and calibrating adriver's vision ahead includes simulating the complicated road condition under traffic condition, modeling with CATIA software, simulating the driver's external road environment while driving on the road, and converting the driver's subjective driving experience into a road CAD scene with vision calibrated. The road CAD scene is projected on a sphere centered on the eye point, and the front windshield, a-pillar, cross windshield, exterior rear view mirror and sealing strip, which affect the driver's vision, are projected on the sphere to simulate the road CAD scene imaging on the driver's eyes. According to the driver's observation habit, the front field of vision is divided into nine visual areas, and the percentage of the driver' s visual area in each area is calculated to check and quantify the driver 's front field of vision. The method is simple, accurate and suitable for passenger car, MVP, SUV, light truck and medium-heavy truck, which is helpful to realize safe driving.
https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=4&adjacent=true&locale=en_EP&FT=D&date=20190125&CC=CN&NR=109263652A&KC=A

https://www.jmc.com.cn/en/pages/products.html

A new car trial is testing new technology that aims to protect drivers from distraction.
https://twitter.com/i/status/1291592776673615874

Taking care of your employees' sleep improves both their quality of life and their work performance even more in transport work. ???? ?? Fatigue at Work is one of the main indicators of sleep pattern disturbances or sleep disorders in drivers.
.
?? Somno Clinic joins one of the world's biggest fatigue detection to help your company improve driving Seeing Machines Latin America #sueño #salud #transporte #conductores #rendimiento fatigue detection
https://www.linkedin.com/feed/update/urn:li:activity:6696203492442337280/
https://www.somno.cl/

OPENGAZE: GAZE-TRACKING IN THE WILD
A system includes a camera positioned in an environment to capture image data of a subject; a computing device communicatively coupled to the camera, the computing device comprising a processor and a non-transitory computer-readable memory; and a machine-readable instruction set stored in the non-transitory computer-readable memory. The machine-readable instruction set causes the computing device to perform at least the following when executed by the processor: receive the image data from the camera; analyze the image data captured by the camera using a neural network trained on training data generated from a 360-degree panoramic camera configured to collect image data of a subject and a visual target that is moved about an environment; and predict a gaze direction vector of the subject with the neural network.
https://worldwide.espacenet.com/publicationDetails/biblio?II=4&ND=3&adjacent=true&locale=en_EP&FT=D&date=20200806&CC=US&NR=2020249753A1&KC=A1
https://patents.justia.com/patent/20200249753
Drawings
http://www.freepatentsonline.com/20200249753.pdf

DEVICE AND METHOD FOR CONTROLLING THE OUTPUT OF DRIVER INFORMATION AND FOR MAINTAINING THE ATTENTION OF A DRIVER OF AN AUTOMATED VEHICLE
The invention relates to a device and a method for controlling the output of driver information to a driver of a vehicle, with the goal of entertaining the driver and/or the occupants of the vehicle and/or increasing the attention of the driver. For this purpose, a database having sights or objects of general interest, a database of topographical information, an apparatus for determining the location of the vehicle, and an evaluation apparatus to which this information is fed are provided. Said evaluation apparatus determines, from the current location of the vehicle and the topographical information, which sights or objects of general interest lie in the field of view of the driver and outputs, by means of an output apparatus, the driver information relating to the sight or to the object of general interest that has been determined by the evaluation apparatus to lie in the field of view of the driver.

Furthermore, it is advantageous that the direction of view of the driver recognized by means of the device for monitoring the driver or the direction of the driver's pointing is transformed from a vehicle coordinate system into a world coordinate system and, taking into account the determined current vehicle position and taking into account the determined current vehicle orientation, the current field of vision ( 7) of the driver is determined. Since the interior sensor system is fixed to the vehicle and can only determine the direction of view or pointing direction of the driver with regard to the fixed vehicle coordinates, it is particularly advantageous if this viewing direction or pointing direction is converted from a vehicle coordinate system into a world coordinate system with the aid of the determined current vehicle position and the determined current vehicle orientation becomes. As soon as the direction of view or pointing direction of the driver is in a world coordinate system, i.e. a stationary coordinate system that does not move with the vehicle or another moving object, it can be determined relatively easily which sight or which object of general interest is in the driver's direction of view, there the pointing direction or the viewing direction are in the same coordinate system as the geographic coordinates of the sights or the objects of general interest.
http://translationportal.epo.org/emtp/translate/?ACTION=description-retrieval&COUNTRY=DE&ENGINE=google&FORMAT=docdb&KIND=A1&LOCALE=en_EP&NUMBER=102018222378&OPS=ops.epo.org/3.2&SRCLANG=de&TRGLANG=en

DEPLOYABLE DRIVER STATION FOR AN AUTONOMOUS DRIVING VEHICLE
A deployable driver station including a seat utilizing both a front-facing driver seat bottom and a coupled rear-facing passenger seat bottom. In a driver configuration, the driver seat bottom is used in a conventional manner, being disposed behind the steering wheel or other steering control and the interior panel, while the passenger seat bottom is disposed more centrally within the passenger compartment. In a passenger configuration, the passenger seat bottom is used like the adjacent rear-facing passenger seat bottom(s), when used, while the driver seat bottom is disposed under the interior panel such that it does not take up space in the passenger compartment. Likewise, the steering wheel or other steering control is disposed under the interior panel. A common two-sided pivoting seat back is alternately used for the driver seat or the passenger seat by pivoting to an appropriate angle for the configuration.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2020238856A1&KC=A1&FT=D&ND=3&date=20200730&DB=&locale=en_EP

P McGlone risky tactic to distract investors away from imminent-gate has created the desired effect .
Tie-gate.
Genius.