Method and apparatus are disclosed for determining vehicle seat occupancy. An example vehicle includes a vehicle seat, an accelerometer coupled to the vehicle seat, and a restraint control module. The restraint control module is configured to determine a minute of arc measurement for the vehicle seat based on data received from the accelerometer, determine that the vehicle seat is occupied based on the minute of arc measurement, and provide an alert.

The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a location, for example, a traffic light duration. The system can record information, e.g., the traffic light colors, duration of color changes, and location of the traffic lights and can upload this information to the cloud. Then, the system can augment or learn about the location, e.g., learning of traffic patterns, and store the augmented data as database-based information, where available. The learned information can help a requesting vehicle to better estimate an estimated time of arrival (ETA) for common routes taken, provide more accurate ETAs based on historical knowledge, and/or calculate or provide alternative route information.

The present disclosure relates to a method for determining the occupancy status of a seat of a motor vehicle, the method being implemented by a determination system comprising a seat, six interdigitated capacitive sensors, and a controller comprising a reference capacitance value and a threshold value for each interdigitated capacitive sensor, the method comprising a step of measuring three capacitance values for each interdigitated capacitive sensor, the following steps being implemented by the controller for the measured capacitance values: calculating a resulting capacitance value based on the measured capacitance values, calculating the difference between the resulting capacitance value and the reference capacitance value, comparing the calculated difference to the threshold value, determining the occupancy status of the seat, based on the result of the comparison.

A heat flux sensor is installed in such a way that heat flux emanating from a biological object present at a predetermined position is detectable. It is determined whether or not a biological object is present at the predetermined position by comparing sensing results of the heat flux sensor with determination criteria. The determination criteria is preset according to heat flux that can be sensed when a biological object is present at the predetermined position. When the sensing results of the heat flux sensor satisfy the determination criteria, in other words, when the heat flux sensed by the heat flux sensor is the heat flux emanating from a biological object, it is determined that a biological object is present at the predetermined position. Consequently, it is possible to realize accurate detection of a biological object.

Vehicular control method to avoid collisions in which a smartphone is coupled to the vehicle while in a vehicular compartment. Data is generated from vehicle-resident sensors about operation of the vehicle and transferred from the vehicle to the smartphone while the smartphone is coupled to the vehicle. A communications network with another vehicle is established using the smartphone and the data transferred from the vehicle to the smartphone and data from sensors on the smartphone is transmitted via the smartphone and established communications network to other vehicle, the data including data about location and movement of the vehicle. Then, while the smartphone is coupled to the vehicle, a vehicular operational function is controlled based in part on data transmitted using the smartphone and established communications network to cause movement of the vehicle to change in order to avoid a collision with the other vehicle.

Techniques are disclosed for systems and methods to detect and/or classify a vehicle occupant, such as a passenger seated within the cockpit of a vehicle. An occupant classification system includes an occupant weight sensor, an occupant presence sensor, and a logic device configured to communicate with the occupant weight sensor and the occupant presence sensor. The logic device is configured to receive occupant weight sensor signals from the occupant weight sensor and occupant presence sensor signals from the occupant presence sensor, determine an estimated occupant weight and an occupant presence response based, at least in part, on the occupant weight sensor signals and the occupant presence sensor signals, and determine an occupant classification status corresponding to the passenger seat based, at least in part, on the estimated occupant weight and/or the occupant presence response.

Techniques are disclosed for systems and methods to detect and/or classify a vehicle occupant, such as a passenger seated within the cockpit of a vehicle. An occupant classification system includes an occupant weight sensor, an occupant presence sensor, and a logic device configured to communicate with the occupant sensors. The occupant weight sensor includes at least first and second conductive electrodes separated by a dielectric layer, top and bottom protective plastic layers configured to support the respective first and second conductive electrodes, and adhesive layers disposed between the plastic layers and the conductive electrodes and between the conductive electrodes and the dielectric layer. The top protective plastic layer is longer and/or wider than the first conductive electrode and the bottom protective plastic layer is longer and/or wider than the second conductive electrode to provide edge protection against electrical shorts for the first and second conductive electrodes.

A system for detecting vibrations from a surface is provided. The system includes a coherent light source for projecting a multi-beam pattern onto the surface and an imaging device for mapping a speckle field generated by each spot formed on the surface by the multi-beam pattern to a unique region of an imaging sensor. The system further includes a processor for processing speckle field information received by the imaging sensor and deriving surface vibration information.

The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a location, for example, a traffic light duration. The system can record information, e.g., the traffic light colors, duration of color changes, and location of the traffic lights and can upload this information to the cloud. Then, the system can augment or learn about the location, e.g., learning of traffic patterns, and store the augmented data as database-based information, where available. The learned information can help a requesting vehicle to better estimate an estimated time of arrival (ETA) for common routes taken, provide more accurate ETAs based on historical knowledge, and/or calculate or provide alternative route information.

An occupant or object sensing system in a vehicle includes electrical circuits for resistive and/or capacitive sensing and corresponding circuits shielding the sensing system from interference. A sensing circuit and a shielding circuit may be printed by screen printing with conductive ink on opposite sides of a non-conductive substrate. The substrate is a plastic film or other fabric that has an elastic memory structure that is resilient to stretching. The conductive inks used to print circuits onto the substrate have a similar resilience to stretching such that the substrate and the circuits thereon can be subject to deforming forces without breaking the printed circuits. The substrate may be covered with a carbon polymer layer to provide alternative conductive paths that enable fast recovery for conduction in the presence of any break in the printed conductive traces on the substrate.