Abstract: A system for detecting occupants of a vehicle includes memory hardware configured to store instructions and processor hardware configured to execute the instructions. The instructions include, based on an outcome of a first set of criteria, associating image data with a first set of scores. The first set of scores includes a first score and a second score. The instructions include, based on an outcome of a second set of criteria, associating the data with a second set of scores. The instructions include combining the first set of scores and the second set of scores, including determining a first metric and determining a second metric. The instructions include comparing the first metric and the second metric. The instructions include, in response to a determination that the first metric is greater than the second metric, organizing the data into a first category and activating an airbag of the vehicle.

Abstract: A method of facilitating vehicle operation includes detecting, from one or more images of at least part of a vehicle cabin, one or more seat parts of at least one seat in the vehicle cabin and, for each detected seat part, a seat part attribute. The method includes estimating one or more seat parameters of the at least one seat based on the detected one or more seat part attributes. The one or more seat parameters are indicative of a spatial configuration of the seat in the vehicle cabin.

Abstract: A computerized method of vehicular safety monitoring includes determining a driver-associated state based on data from one or more sensors of a vehicle. At least one sensor captures a cabin of the vehicle. The method includes comparing the driver-associated state to one or more predefined rules. The method includes, in response to detection of a violation of a rule of the one or more rules, triggering a warning event.

Abstract: A computer-implemented method for determining a physical condition of a driver of a vehicle. The method includes receiving at least one image taken by a vehicle camera. The image shows at least a part of the driver and a sensor to be operated by the driver to determine the physical condition. The method includes determining, based on the image, if the sensor is operated by the driver.

Abstract: A computer-implemented method of controlling one or more vehicle safety measures by determining a height of a person sitting on a seat in a vehicle cabin. The method includes determining, based on one or more images showing the person on a vehicle seat, a height of the person by: determining a set of body characteristics of the person, comparing the set of determined body characteristics with a corresponding set of reference characteristic, and determining the height of the person based on the comparison. The method includes outputting a control signal to the one or more vehicle safety measures based at least partially on the determined height.

Abstract: A computerized method of depth determination in a vehicle includes determining, based on image data obtained by an imaging system representing at least a part of an interior of the vehicle, one or more points of interest. The method includes determining one or more characteristics associated with each determined point of interest. The one or more characteristics includes a location and/or dimensions of each determined point of interest. The method includes generating, based on the determined points of interests and the associated characteristics, a reference depth map of the vehicle interior represented in the image data. The method includes generating, based on the image data and the reference depth map, a refined reference depth map.

Abstract: A computerized method of vision-based child seat mounting assistance in a vehicle. The method includes detecting an act of installing a child seat in the vehicle based on at least one image of an interior of the vehicle. The method includes determining a child seat model type of the child seat to be mounted in the vehicle. The method includes outputting, on a display, an assistance for mounting the child seat in the vehicle based on a three-dimensional reference model of the determined child seat model type.

Abstract: A computer-implemented method for seatbelt assistance in a vehicle includes determining, based on interior cabin data, whether a seatbelt is correctly fastened. The determining does not provide a positive confirmation that the seatbelt is correctly fastened. The method includes outputting a prompt to a person on the seatbelt to take an action to enable re-determining whether the seatbelt is correctly fastened. The method includes re-determining, based on updated interior cabin data indicating a reaction of the person to the prompt, whether the seatbelt is correctly fastened.

Abstract: A computerized method of pose detection of a person in a vehicle includes receiving, from an on-board camera of the vehicle, an image of an interior of the vehicle showing a seat of the vehicle occupied by the person. The computerized method includes obtaining at least one first characteristic of a first face bounding area and a first body bounding area associated with the occupied seat of the vehicle. The computerized method includes determining a second body bounding area and an associated second face bounding area of the person from the image. The computerized method includes determining at least one second characteristic of the second face bounding area and the second body bounding area. The computerized method includes determining a pose of the person based on the at least one second characteristic and on the at least one first characteristic.

Abstract: Systems and techniques are provided for detecting drowsiness of a driver in a vehicle. In aspects, a driver is monitored by capturing an image sequence of an interior of the vehicle via a camera system. The image sequence is then analyzed to extract a characteristic pattern of the driver. An activity level of the driver is determined based on at least one of the image sequence or an output signal provided by another sensor of the vehicle. At least one of the extracted characteristic pattern and the activity level of the driver is selected as a basis for determining a drowsiness signal indicative of the drowsiness of the driver.

Abstract: Methods and systems are described that implement determining one or more characteristics of the interior of a vehicle that lead to a reliable detection or observation of objects even if the direct line of sight between the objects and the camera is occluded. In an aspect, a computer implemented method includes the following operations carried out by computer hardware components: determining an image of an area of a cabin inside a vehicle using a sensor, the image including at least one first region representing the area reflected by at least one reflective surface provided in the cabin and at least one second region representing the area in a direct line of sight; and determining one or more characteristics inside the cabin of the vehicle based on at least one of: the at least one first region of the image; or the at least one second region of the image.

Abstract: Disclosed are techniques and apparatuses for seat belt status detection in a vehicle. In an aspect, a method includes the operations of: obtaining first infrared (IR) images and second visible light images of a seat belt region where a seat belt is expected to be visible when it is worn by a person in the vehicle; transmitting the first images to a first classifier and the second image to a second classifier; determining a first estimate of probability and a second estimate of probability that the seat belt is correctly worn, from the first and second classifiers; combining the two estimates of probability, using respective scores attributed to the first and second images, each score being indicative of the trustworthiness of the corresponding image to detect a seat belt status, to determine a combined probability; and comparing the combined probability to a predetermined threshold to determine a seat belt status.

Abstract: A computerized method of determining seat occupancy of a vehicle is presented. The method comprises obtaining an image of a vehicle cabin showing at least one seat of the vehicle, determining objects in the image and assigning objects to the at least one seat, determining probabilities for seat occupancy states of the at least one seat, and determining a seat occupancy state of the at least one seat based on the assigned objects and the probabilities.