A system for detecting a vehicular collision (i) receives occupant data from at least one internal sensor; (ii) receives external data from at least one external sensor; (iii) determines positional information for at least one occupant of a vehicle; and (iv) generates a virtual reconstruction of the vehicle collision. The virtual reconstruction indicates a severity of vehicle damage and a severity of injury to the at least one occupant caused by the vehicle collision. The system may also utilized vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle systems, and/or perform at least one action to reduce a severity of a potential injury.

A vehicle includes one or more sensors and engages at least one of the one or more sensors to evaluate at least one of a count or location of vehicle occupants prior to an incident. The vehicle determines that an incident has occurred and that at least one of an evaluated count or location of at least one vehicle occupant has changed following the incident. Also, the vehicle engages at least one of the one or more sensors to detect a presence of a prior occupant outside the vehicle following the incident, responsive to determining that the at least one of the evaluated count or location of the at least one vehicle occupant changed and, responsive to detecting the presence of the prior occupant outside the vehicle following the incident, reports the presence to a 3.sup.rd party response entity.

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.

A sensing assembly for detecting a temperature of a tire of a vehicle comprises a fender, one or more cavities, and at least one contactless temperature sensor. The fender comprises an outer surface and an inner surface. The inner surface of the fender defines the one or more cavities. The contactless temperature sensor is seated within each of the one or more cavities. Further, the contactless temperature sensor is configured to detect the temperature of the tire of the vehicle.

A radar-based occupancy detection system that includes a seatbelt buckle disposed adjacent a seat of a vehicle and a radar module disposed within the seatbelt buckle, the radar module including an antenna, a radio frequency (RF) transmitter, a RF receiver, and a processor, the antenna configured to broadcast a RF signal generated by the RF transmitter toward the seat, the processor configured to derive signal information from output received from the receiver and to characterize occupancy of the seat based on the signal information.

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.

An apparatus comprising a processor and a transceiver. The processor may (i) receive messages from a plurality of vehicles and (ii) determine relative coordinates of the vehicles based on the messages. The transceiver may (i) communicate the messages using a first channel in a first range and (ii) communicate short messages using a second channel in a second range. Communicating using the second channel may consume more power than communicating using the first channel. The messages may be sent from the transceiver to a cluster head within the first range. The short messages may communicate less data than the messages. The short messages may be sent directly to a target vehicle outside of the first range to determine an associated cluster head for the target vehicle. The messages may be sent to the target vehicle from the associated cluster head via the cluster head within the first range.

A protective system is provided including an airbag system for protecting a body part of a user in case of an accident, including a control unit and a communication interface. The protective system further includes an external device having a communication interface. The communication interface of the airbag system is configured to communicate with the external device using wireless communication.

Among other things, a documentation of a crash involving a vehicle is generated automatically. Telematics data is received that has been produced by one or more sensors associated with a telematics device at the vehicle. Based on the telematics data, a vehicle crash period is determined that begins at a start time and ends at an end time of the vehicle crash. Based on the telematics data, one or more metrics are determined associated with the vehicle during the vehicle crash period. Based on one or more metrics, a human-readable documentation of the vehicle crash is generated automatically.

An apparatus comprising a transceiver, a processor and a memory. The transceiver may be configured to send/receive data messages to/from a plurality of vehicles. The processor may be configured to execute instructions. The memory may be configured to store instructions that, when executed, perform the steps of (A) generating signal distance calculations between the apparatus and at least three of the vehicles using the data messages, (B) calculating a plurality of potential positions of the vehicles using the signal distance calculations, (C) performing a scaling operation on the plurality potential positions of the vehicles to determine relative positions of the vehicles on a coordinate system, (D) implementing a procrusting procedure on the coordinate system to generate a corrected coordinate system and (F) determining changes of the relative positions using the corrected coordinate system.