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 system for detecting a vehicular collision (i) receives internal data from at least one internal sensor of a vehicle; (ii) receives external data from at least one external sensor; (iii) determines that a vehicle collision is imminent based upon the received external data; (iv) determines positional information for at least one occupant of a vehicle; and (v) automatically engages an autonomous or semi-autonomous vehicle system to mitigate at least one of vehicle damage and occupant injury caused by the vehicle collision. As a result, the potential injury to at least one occupant is reduced. The system may also utilize 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 features, and/or generate virtual reconstructions of the vehicle collision.

The present invention relates to an intelligent electric vehicle to predict the accident and notify before accident. The present invention identifies the real-time position and the mobile WIFI network connection which is an example of a person being in the car. Through this, the position-detecting vehicle technology, the car also alarms the immediate response team with the fact that a request is being made when a collision is happening and that the victim has been identified using call-based technology. As the crosswalk detection unit senses a pedestrian crossing the road ahead, a stopping system examines the driving behavior of vehicles behind the vehicle to determine whether they are blocking the way, and decides only whether not and stop the vehicle to make way clear for the crossing of the person. The invention also provides process and methods for dynamically defining a safety zone around a user.

Embodiments are disclosed for an example telematics system for a vehicle. The example telematics system comprises a plurality of antennae capable of sending and receiving wireless signals, the plurality of antennae including a primary antenna and a backup antenna positioned adjacent to the primary antenna. The primary antenna comprises a three-dimensional antenna, and the backup antenna comprises a two-dimensional antenna.

A method for detecting airbag deployment includes operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of measurement signals, determining a change in at least one measurement signal of the plurality of measurement signals and that the change exceeds a first threshold. In response to determining that the change exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors, determining a derivative of the pressure measurement signal, and determining that the derivative of the pressure measurement signal exceeds a second threshold. In response to determining that the derivative of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one measurement signal exceeding the first threshold and the derivative of the pressure measurement signal exceeding the second threshold.

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.

A method for detecting airbag deployment includes operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of measurement signals, determining a change in at least one measurement signal of the plurality of measurement signals and that the change exceeds a first threshold. In response to determining that the change exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors, determining a derivative of the pressure measurement signal, and determining that the derivative of the pressure measurement signal exceeds a second threshold. In response to determining that the derivative of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one measurement signal exceeding the first threshold and the derivative of the pressure measurement signal exceeding the second threshold.

An in-vehicle communication system includes a master control unit mounted on a vehicle, a plurality of slave devices mounted on the vehicle, a plurality of buckles provided in association with each of a plurality of seats mounted on the vehicle, and at least one switch unit configured to generate a signal in accordance with an attachment and detachment state of at least one of the plurality of buckles. The master control unit is communicably connected to each of the slave devices. The master control unit controls the plurality of slave devices based on the signal generated by the at least one switch unit.

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.

An apparatus comprising a transceiver module and a processor. The transceiver may be configured to send/receive data messages to/from a plurality of vehicles. The processor may be configured to (i) determine a plurality of selected vehicles from the plurality of vehicles based on a selection criteria and (ii) calculate relative coordinates of the plurality of vehicles based on the data messages from the selected vehicles. The selection criteria may comprise determining (i) a target vehicle and (ii) at least two complementary vehicles. A predicted trajectory of the target vehicle may cross paths with a predicted trajectory of the apparatus. The complementary vehicles may be selected based on (i) an arrangement of the plurality of vehicles and (ii) speeds of the plurality of vehicles.