An integrated circuit includes a passive component having a first metal feature and a second metal feature, the first metal feature and the second metal feature defining an interior area therebetween. The integrated circuit also includes set of spaced metal fill lines extending across the interior area and oriented to carry current orthogonal to current carried by the first metal feature and second metal feature.

An integrated circuit includes a passive component having a first metal feature and a second metal feature, the first metal feature and the second metal feature defining an interior area therebetween. The integrated circuit also includes set of spaced metal fill lines extending across the interior area and oriented to carry current orthogonal to current carried by the first metal feature and second metal feature.

A monitoring system for a vehicle cabin, a vehicle including such a monitoring system and a method for monitoring a vehicle cabin. The monitoring system includes a first sensor unit, a second sensor unit and a control unit. The first sensor unit is configured to generate image data of the vehicle cabin. The second sensor unit is configured to generate non-image data of the vehicle cabin. The control unit is configured to collect the image data and the non-image data and determine based thereon whether an obstacle is in the vehicle cabin. The control unit is further configured to limit an actuation of a subsystem if the obstacle is disruptive for the actuation of the subsystem.

A monitoring system for a vehicle cabin, a vehicle including such a monitoring system and a method for monitoring a vehicle cabin. The monitoring system includes a first sensor unit, a second sensor unit and a control unit. The first sensor unit is configured to generate image data of the vehicle cabin. The second sensor unit is configured to generate non-image data of the vehicle cabin. The control unit is configured to collect the image data and the non-image data and determine based thereon whether an obstacle is in the vehicle cabin. The control unit is further configured to limit an actuation of a subsystem if the obstacle is disruptive for the actuation of the subsystem.

An occupant detection device includes: a radio wave sensor located above a seat surface of a seat that is disposed in a vehicle cabin of a vehicle, in a vertical direction of the vehicle, and including a transmission unit configured to transmit a transmission wave to the vehicle cabin and a reception unit configured to receive a reflected wave generated by the transmission wave being reflected by an occupant on the seat; a creation unit configured to create, based on the reflected wave, three-dimensional map information in the vehicle cabin in which a position of a reflection point of the reflected wave is represented by three-dimensional coordinates; and a calculation unit configured to calculate, based on the three-dimensional map information, backbone information that is information on a backbone of the occupant on the seat.

Sensor fusion is performed for efficient deep learning processing. A camera image is received from an image sensor and supplemental sensor data is received from one or more supplemental sensors, the camera image and the supplemental sensor data including imaging of a cabin of a vehicle. Regions of interest in the camera image are determined based on one or more of the camera image or the supplemental sensor data, the regions of interest including areas of the camera image flagged for further image analysis. A machine-learning model is utilized to perform object detection on the regions of interest of the camera image to identify one or more objects in the camera image. The objects are placed into seating zones of the vehicle.

A fall detection system includes a radar that generates emitting radio waves and receives reflected radio waves from a person under detection, a data generator that generates a point cloud according to the reflected radio waves, an area determining device that determines a sub-area of a detecting area in which the person under detection lies, and a classifier that determines whether the person under detection falls according to the point cloud. The classifier adaptively processes the point cloud with different methods according to sub-areas as determined by the area determining device respectively to determine whether the person under detection falls.

System, methods, and other embodiments described herein relate to sensing interactions of a passenger with components within a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates that a passenger satisfies a threshold in relation to an unpermitted action, generating a response that counters the unpermitted action.

A motion sensing method includes monitoring for a first motion in a first region using a first antenna using a first motion detection parameter, when no first motion is sensed by the monitoring using the first antenna, monitoring for a second motion in a second region using a second antenna using a second motion detection parameter, and when no second motion is sensed by monitoring using the second antenna, designating a space, which encompasses the second region, as unoccupied, wherein the first region and the second region overlap one another, and the first motion detection parameter is different from the second motion detection parameter.

A motion sensing method includes monitoring for a first motion in a first region using a first antenna using a first motion detection parameter, when no first motion is sensed by the monitoring using the first antenna, monitoring for a second motion in a second region using a second antenna using a second motion detection parameter, and when no second motion is sensed by monitoring using the second antenna, designating a space, which encompasses the second region, as unoccupied, wherein the first region and the second region overlap one another, and the first motion detection parameter is different from the second motion detection parameter.