Member Info for johnchucka

COMPACT INTEGRATED OCCUPANT MONITORING CAMERA

Described herein is a vehicle monitoring camera (100) for monitoring an interior of a vehicle (200). The camera (100) comprises a substrate (102) configured to house electronic components. At least one light source (104) is mounted to the substrate (102) and configured to emit light in the infrared wavelength range onto a scene within the vehicle (200). An image sensor (106) is mounted to the substrate (102) and comprises a two dimensional array of sensing elements configured to sense light in at least the infrared wavelength range from the scene. An imaging metasurface (108) is mounted onto or in front of the image sensor (106) and has surface properties configured to define a wide field of view of light received at the image sensor (106) and to focus light onto the image sensor (106) to capture images of the scene.

https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2026112692A1&KC=A1&FT=D&ND=3&date=20260604&DB=&locale=en_EP

https://www.freepatentsonline.com/WO2026112692A1.pdf

PILOT ASSESSMENT BASED ON COGNITIVE NEURAL DATA

0009] FIG. 2 is a diagram of an eye-tracker system in accordance with disclosed embodiments;

[0018] Disclosed embodiments use neural brain sensors (e.g., functional magnetic resonance imaging (fMRI), electro-encephalogram (EEG), functional near-infrared spectroscope (FNIR)), physiological sensors (e.g., heart rate monitor), behavioral sensors (e.g., eye tracker) and AI/ML to output an internal monologue of the pilot. The output is paired with training simulator (e.g., training vehicles, simulators, virtual reality) data related to specific tasks in order to collect and qualitatively assess the internal dialogues relationship to any cognitive skills and also the degree to which those skills are used by the pilot throughout the task.

[0021] In one example, a pilot uses a flight simulator to perform an aircraft take-off. That pilot is equipped with sensor to measure brain activity which outputs to an AI model trained on similar data from pilots during other aircraft operations. As the simulated aircraft takes-off, the AI model would output the pilot's verbalized thought (“10 degree pitch, 3 degree rate rotation, gear up . . . jeez . . . sidewind is strong”), which is transcribed and then associated with simulator avionics panel data and behavior sensor (eye tracker) data. Based on the words that are transcribed, the qualitative data can be labeled into skills according to how the information is being used by the pilot. Using the previous transcript, the system would associate the internal monologue to the cognitive skill of “collection” of pitch and degree rotation information from the avionic instruments, the cognitive skill of “estimation” of how much the pilot needs to pull back on the yoke to nose-up into the 3-degree pitch, and the skill of “prediction” to assess the how much the sidewind will push them off flightpath.

https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=20260073809A1&KC=A1&FT=D&ND=3&date=20260312&DB=&locale=en_EP

https://www.freepatentsonline.com/20260073809.pdf

PILOT COGNITIVE INFERENCE SYSTEM AND METHOD

A system for determining pilot cognitive states, includes one or more processors coupled to a memory configured to receive physiological data and aircraft state data, determine mental workload and mental fatigue of a pilot based on the physiological data, determine available attention resources of the pilot based on the mental workload and mental fatigue, determine attention allocation of the pilot based on the available attention resources and gaze patterns derived from the physiological data, determine situational awareness of the pilot based on the attention allocation and the aircraft state data, and generate a visualization of the available attentional resources of the pilot, the attention allocation of the pilot, the situational awareness of the pilot, and aircraft state data.

https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=20260155048A1&KC=A1&FT=D&ND=3&date=20260604&DB=&locale=en_EP

https://www.freepatentsonline.com/20260155048.pdf

Seeing Machines CEO interview: GSR ramp confirmed, what comes next

https://www.youtube.com/watch?v=iouQ07JkU94

U.S. trucking rates surge to the highest level since 2022

https://pbs.twimg.com/media/HIDqh0vXsAAERTE?format=jpg&name=small

VEHICULAR DRIVER MONITORING SYSTEM WITH DRIVING QUALITY DETECTION

A vehicular driver monitoring system includes a sensor disposed at a vehicle equipped with the vehicular driver monitoring system. The vehicular driver monitoring system is operable to determine whether a driver of the vehicle is a restricted river. The vehicular driver monitoring system, responsive to determining that the driver is a restricted driver, enables a restricted driver mode. The vehicular driver monitoring system, while the restricted driver is driving the vehicle and while the vehicular driver monitoring system is operated in the restricted driver mode, determines whether the restricted driver performs at least one driving event of a plurality of predefined driving events. The vehicular driver monitoring system, while operating in the restricted driver mode, determines a driving quality score of the restricted driver based on the determined at least one driving event.

https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260430&CC=US&NR=20260116409A1&KC=A1

Miracle Turnaround? The US Industrial Economy Is Now Booming DESPITE High Oil Prices | Craig Fuller

https://www.youtube.com/watch?v=Hbyj1M_XIW0

3D DETECTION SYSTEM FOR IN-CABIN AUTOMOTIVE ERGONOMICS

A monitoring system for a vehicle includes an imaging device configured to capture a first image type and a second image type. A first illumination source is configured to emit a flood illumination captured by the imaging device in the first image type. A second illumination source is configured to emit an illumination pattern captured by the imaging device in the second image type. A processor is configured to extract a 2D skeletal representation of a vehicle occupant from the first image type and extrapolate a 3D skeletal representation of the vehicle occupant. The processor is further configured to generate at least one of a communication to the vehicle occupant to change a posture or a signal to a vehicle control system to move at least one of a position of a seat or a position of a steering wheel.

https://worldwide.espacenet.com/publicationDetails/biblio?II=6&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260409&CC=US&NR=20260100059A1&KC=A1

https://www.freepatentsonline.com/20260100059.pdf

Https://www.youtube.com/watch?v=muMAMzcXkE0

Smart Eye 4Q25: Delusion, Disingenuous, or Deceit? Just publish the facts and let us draw our own conclusions. Stop treating everyone like children. Article now live on Understanding DMS. Want to know more about the big picture for the European automotive DMS market and "who supplies whom?" DM me for details of the Semicast analysis: "2026 Forward Share Estimates of the European Automotive Driver Monitoring Systems Market." There are two reports, one covering Tier 1 suppliers, and one covering Tier 2s.

Message to request your copy of the study brochures and order forms to purchase these reports and to cut through the industry PR noise. Fastest delivery is by credit card payment via Stripe, accepting various card types. Direct wire transfer and conventional P.O. routes also accepted.

Link to Smart Eye 4Q report > https://lnkd.in/eBsJATpi

Link to Redeye hosted Q&A session video > https://lnkd.in/eSsX78A4

https://lnkd.in/e28NgtAE

https://www.linkedin.com/feed/update/urn:li:activity:7429532647267250176/

MULTI-SENSOR INTOXICATION DETECTION

A passive breath sensor is configured to measure an amount of an intoxicant present within a passenger cabin of the vehicle. A camera is configured to capture images including a driver on a driver's seat within the passenger cabin. A baseline module is configured to determine a baseline dimension of a pupil of an eye of the driver based on images from the camera. An eye detection module is configured to determine a present dimension of the pupil of the eye of the driver based on an image from the camera. An intoxication indication module is configured to output an indicator that the driver is intoxicated when both the amount of the intoxicant is at least a predetermined amount of the intoxicant and the present dimension of the pupil of the eye of the driver is greater than the baseline dimension of the pupil by a predetermined amount.

https://worldwide.espacenet.com/publicationDetails/biblio?II=4&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260129&CC=US&NR=20260026746A1&KC=A1

https://www.freepatentsonline.com/20260026746.pdf

VEHICULAR OCCUPANT MONITORING SYSTEM

[0004] A vehicular cabin monitoring system includes an interior rearview mirror assembly including a mirror head adjustable about a mounting structure. The mounting structure is configured to mount the interior rearview mirror assembly at an interior portion of an interior cabin of a vehicle. The mirror head accommodates a mirror reflective element. At least one camera is accommodated by the mirror head, and, with the interior rearview mirror assembly mounted at the interior portion of the interior cabin of the vehicle ,each camera of the at least one camera views within the interior cabin of the vehicle. Each camera of the at least one camera and the mirror reflective element move together and in tandem with the mirror head when, with the interior rearview mirror assembly mounted at the interior portion of the interior cabin of the vehicle, the mirror head is adjusted about the mounting structure to provide a rearward view for a driver of the vehicle provided by the1 61006458.1 mirror reflective element. Image data captured by the at least one camera is transferred toan electronic control unit (ECU). The ECU includes electronic circuitry and associated software, and the electronic circuitry of the ECU includes an image processor operable to process image data transferred to the ECU. With the interior rearview mirror assembly mounted at the interior portion of the interior cabin of the vehicle, image data captured by the at least one camera is processed at the ECU for monitoring of the driver of the vehicle and image data captured by the at least one camera is processed at the ECU for monitoring of a passenger region within the interior cabin of the vehicle. For example, the mirror head may include a first camera that views through the mirror reflective element and toward the driver’s head region of the cabin of the vehicle and a second camera that views through an aperture in a lower portion of the mirror casing and at least partially downward and toward the passenger region of the cabin of the vehicle.

https://worldwide.espacenet.com/publicationDetails/description?CC=WO&NR=2026019985A1&KC=A1&FT=D&ND=3&date=20260122&DB=&locale=en_EP

https://www.freepatentsonline.com/WO2026019985A1.pdf

EGO-BODY POSE ESTIMATION

According to one aspect, ego-body pose estimation may include imputing a trajectory and a pose for a hand of a human based on an ego-centric input video and an input head tracking signal, generating a whole-body pose for the human based on the trajectory and the pose for the hand and by denoising the trajectory and the pose of the hand, and implementing an action based on the whole-body pose determined for the human via an actuator.

https://worldwide.espacenet.com/publicationDetails/biblio?II=15&ND=3&adjacent=true&locale=en_EP&FT=D&date=20251211&CC=US&NR=2025378574A1&KC=A1

https://www.freepatentsonline.com/20250378574.pdf

System and Method for Open Multi-Agent Collaboration

Embodiments disclosing a controller for controlling a collaboration of a set of agents jointly performing a task are provided. The set of agents includes different combinations of active agents and inactive agents defined by a collaboration variable. The controller is configured to accept a feedback signal including observations of a state of execution of the task performed by active agents, as specified in the collaboration variable. The observations are processed with a neural network trained with machine learning to determine actions for the active agents. The actions include one or more activation actions that cause activation or deactivation of a specific agent from the set of agents. The collaboration variable is updated when the neural network outputs at least one activation action to update a combination of active and inactive agents and cause the active agents to execute the determined actions.

https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260122&CC=US&NR=20260023367A1&KC=A1

https://www.freepatentsonline.com/20260023367.pdf

DRIVER MONITORING APPARATUS AND MEDIUM

A driver monitoring apparatus configured to be retrofitted to a vehicle is provided. The driver monitoring apparatus has a camera configured to capture an image including a driver of a vehicle; an output unit. The driving monitoring apparatus performs specifying a gaze direction of the driver from the image captured by the camera; determining whether or not the specified gaze direction is continuously below a preset virtual line for more than a predetermined time; and outputting, by the output unit, a warning to the driver in a case where it is determined that the gaze direction is continuously below the virtual line for more than the predetermined time.

https://worldwide.espacenet.com/publicationDetails/biblio?II=3&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260122&CC=US&NR=20260024358A1&KC=A1

https://www.freepatentsonline.com/20260024358.pdf

SYSTEM AND METHOD FOR AUTOMATICALLY ACTIVATING A TURN SIGNAL OF A VEHICLE

A method for automatically activating a turn signal includes monitoring a vehicle occupant of a vehicle with a driver monitoring system. The driver monitoring system includes at least one camera and is configured to determine a position of at least one eye of the vehicle occupant, a head direction of the vehicle occupant, and a shoulder movement. The method includes detecting that a gaze of the vehicle occupant is directed toward a side view mirror of a vehicle or detecting that a shoulder movement of the vehicle occupant, and in response, automatically activating the turn signal of the vehicle.

https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260122&CC=US&NR=20260021761A1&KC=A1

https://www.freepatentsonline.com/20260021761.pdf

OCCUPANT PHYSIQUE DETECTION DEVICE AND OCCUPANT PHYSIQUE DETECTION METHOD

An occupant physique detection device includes: a captured image acquiring unit that acquires a captured image, from a camera that images the occupant of a vehicle; a skeletal point detecting unit that detects, from the captured image, three skeletal points that have no obstacles between the camera and the skeletal points and can be used to estimate the physique of the occupant among five predetermined skeletal points including the skeletal points of both shoulder portions and the skeletal points of both waist portions of the occupant, and outputs the position coordinates of each of the three skeletal points in the captured image; an area calculating unit that calculates the area of a polygon having each skeletal point as a vertex, using the position coordinates of each of the skeletal points; and a physique estimating unit that estimates the physique of the occupant from the area of the polygon.

https://worldwide.espacenet.com/publicationDetails/biblio?II=1&ND=3&adjacent=true&locale=en_EP&FT=D&date=20260115&CC=US&NR=20260017916A1&KC=A1

https://www.freepatentsonline.com/20260017916.pdf

@3.28

https://x.com/i/status/2009958559371649480

DRIVING ASSISTANCE DEVICE AND DRIVING ASSISTANCE METHOD

https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2026009273A1&KC=A1&FT=D&ND=3&date=20260108&DB=&locale=en_EP

https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026009273&_cid=P21-MK8KWX-90588-1

The driver assistance device pertaining to this disclosure shall be based on the acquisition department that acquires at least the vehicle surrounding information related to the vehicle surroundings, the risk candidate value calculation department that calculates the risk value for the potential risk candidate area based on the vehicle surrounding information or vehicle information including the condition and location of the vehicle, and the vehicle surrounding information or the behavior information of the vehicle driver. The Recognition Difficulty Calculation Section, which calculates the degree of recognition difficulty that is difficult for the driver to recognize about the area around the vehicle, the Potential Risk Extraction Section, which extracts potential risk candidates whose risk value is above the threshold and the recognition difficulty is above the threshold based on the risk value and the recognition difficulty level as a potential risk, and the Area Specification Section, which identifies the area that should alert the driver based on the potential risk, and the Potential Risk. , or a luminous method decision unit that determines the luminous emission method for the alert area based on behavioral information, and a luminous control unit that controls the emission of the vehicle's luminous device based on the emission method.

[0110]

The driver monitoring device 35 monitors the condition of the driver of the vehicle. The driver monitoring device 35 includes, for example, an in-cabin camera, and a biometric sensor. The interior camera detects the driver's gaze and face orientation. The biosensor measures the driver's electrocardiogram and pulse waves. In the driver assistance device 1 pertaining to form 2 of this embodiment, it is possible to determine the degree of recognition difficulty and determine the light emitting method based on the monitoring results of the driver monitoring device 35.

Systems and methods for machine-learning powered alcohol impairment detection and real-time monitoring in automotive systems

A driver alcohol impairment detection and control system and method for a vehicle a control system configured to access an alcohol impairment detection model, wherein the alcohol impairment detection model is a machine-learning model trained based on a plurality of input parameters including at least (i) parameters of one or more eyes of the driver, (ii) skin conductance of a face of the driver, and (iii) responsiveness of the driver, receive a set of captured images of the driver from a driver monitoring camera system and a set of driver inputs via one or more driver input device sensors, determine whether the driver is impaired by alcohol using the alcohol impairment detection model, the set of captured images, and the set of driver inputs, and perform remedial control of at least one output of the vehicle when the driver is determined to be impaired by alcohol.

https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=12472813B1&KC=B1&FT=D&ND=3&date=20251118&DB=&locale=en_EP