Abstract: The present disclosure is directed at an Advanced Driver Assistant System, ADAS, for vehicles configured to detect a potentially dangerous object inside a vehicle, the system comprising at least one sensor unit, a processing unit, and an output unit, wherein the sensor unit is configured to monitor at least a part of the interior of the vehicle and to transmit acquired sensor data to the processing unit, and wherein the processing unit is configured to analyze the transmitted sensor data, detect, based on the analyzed sensor data, an object inside the vehicle, classify the detected object as a potentially dangerous object, and trigger the output unit to issue a warning in case the detected object is classified as a potentially dangerous object.

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 computer-implemented method for driving assistance in a vehicle. The method includes determining, based on an image capturing an operating element of the vehicle and a driver of the vehicle, a distance between the operating element and a hand of the driver. In response to the distance meeting a criterion being indicative of a possibility that the driver operates the operating element, the method includes: determining, based on a part of the image capturing the operating element, classification information of the operating element, determining, based on a part of the image capturing the driver, classification information of a pose of the driver, and determining, based on the distance, the classification information of the operating element and the classification information of the pose of the driver, whether the driver operates the operating element.

Abstract: A computer implemented method for determining an activity of an occupant of a vehicle comprises the following steps carried out by computer hardware components: capturing sensor data of the occupant using at least one sensor; determining respective two-dimensional or three-dimensional coordinates for a plurality of pre-determined portions of the body of the occupant based on the sensor data; determining at least one portion of the sensor data showing a pre-determined body part of the occupant based on the sensor data and the two-dimensional or three-dimensional coordinates; and determining the activity of the occupant based on the two-dimensional or three-dimensional coordinates and the at least one portion of the sensor data.

Abstract: A system for generating a confidence value for at least one state in the interior of a vehicle, comprising an imaging unit configured to capture at least one image of the interior of the vehicle, and a processing unit comprising a convolutional neural network, wherein the processing unit is configured to receive the at least one image from the imaging unit and to input the at least one image into the convolution-al neural network, wherein the convolutional neural network is configured to generate a respective likelihood value for each of a plurality of states in the interior of the vehicle with the likelihood value for a respective state indicating the likelihood that the respective state is present in the interior of the vehicle, and wherein the processing unit is further configured to generate a confidence value for at least one of the plurality of states in the interior of the vehicle from the likelihood values generated by the convolutional neural network.

Abstract: A computer implemented method for determining an activity of an occupant of a vehicle comprises the following steps carried out by computer hardware components: capturing sensor data of the occupant using at least one sensor; determining respective two-dimensional or three-dimensional coordinates for a plurality of pre-determined portions of the body of the occupant based on the sensor data; determining at least one portion of the sensor data showing a pre-determined body part of the occupant based on the sensor data and the two-dimensional or three-dimensional coordinates; and determining the activity of the occupant based on the two-dimensional or three-dimensional coordinates and the at least one portion of the sensor data.

Abstract: A system for generating a confidence value for at least one state in the interior of a vehicle, comprising an imaging unit configured to capture at least one image of the interior of the vehicle, and a processing unit comprising a convolutional neural network, wherein the processing unit is configured to receive the at least one image from the imaging unit and to input the at least one image into the convolution-al neural network, wherein the convolutional neural network is configured to generate a respective likelihood value for each of a plurality of states in the interior of the vehicle with the likelihood value for a respective state indicating the likelihood that the respective state is present in the interior of the vehicle, and wherein the processing unit is further configured to generate a confidence value for at least one of the plurality of states in the interior of the vehicle from the likelihood values generated by the convolutional neural network.