Disclosed is a seat belt wireless communication system. The system includes a detection unit provided in each seat and detecting a first signal indicating whether or not a seat belt is fastened and a second indicating a battery state, a sub-control unit provided in the each seat and transmitting the first signal and the second signal through wireless communication; and a main control unit, performing the wireless communication with each of the sub-control units, causing the sub-control unit to wake up through the wireless communication, receiving the first signal and the second signal from the sub-control unit, determining whether or not a belt of the each seat is fastened and a charged state of a battery, and controlling an output through the first signal and the second signal.

Disclosed is a seat belt wireless communication system. The system includes a detection unit provided in each seat and detecting a first signal indicating whether or not a seat belt is fastened and a second indicating a battery state, a sub-control unit provided in the each seat and transmitting the first signal and the second signal through wireless communication; and a main control unit, performing the wireless communication with each of the sub-control units, causing the sub-control unit to wake up through the wireless communication, receiving the first signal and the second signal from the sub-control unit, determining whether or not a belt of the each seat is fastened and a charged state of a battery, and controlling an output through the first signal and the second signal.

To shorten a time required to predict collision with other vehicles, a collision prediction device includes: a detection unit configured to detect each of a front, a rear, and a side of other vehicles located around a vehicle from a captured image of one frame in which surroundings of the vehicle are imaged; and a determination unit configured to determine a likelihood of collision with the other vehicles based on a detection result of the detection unit. The determination unit determines that the likelihood of collision with the other vehicle of which only the front or only the rear is detected is high in the other vehicles of which one or more of the front, the rear, and the side are detected by the detection unit.

To shorten a time required to predict collision with other vehicles, a collision prediction device includes: a detection unit configured to detect each of a front, a rear, and a side of other vehicles located around a vehicle from a captured image of one frame in which surroundings of the vehicle are imaged; and a determination unit configured to determine a likelihood of collision with the other vehicles based on a detection result of the detection unit. The determination unit determines that the likelihood of collision with the other vehicle of which only the front or only the rear is detected is high in the other vehicles of which one or more of the front, the rear, and the side are detected by the detection unit.

A restraint system operating method includes, among other things, when a detachable door is attached to a vehicle, operating a restraint system of a vehicle at least in part in response to a signal from a door sensor of the detachable door. When the detachable door is detached from the vehicle, the method operates the restraint system of the vehicle without relying on the signal from the door sensor.

A restraint system operating method includes, among other things, when a detachable door is attached to a vehicle, operating a restraint system of a vehicle at least in part in response to a signal from a door sensor of the detachable door. When the detachable door is detached from the vehicle, the method operates the restraint system of the vehicle without relying on the signal from the door sensor.

An electronic module assembly (EMA) for use in controlling one or more personal restraint systems. A programmed processor within the EMA is configured to determine when a personal restraint system associated with each seat in a vehicle should be deployed. In addition, the programmed processor is configured to perform a diagnostic self-test to determine if the EMA and the personal restraint systems are operational. In one embodiment, results of the diagnostic self-test routine are displayed on a display included on the electronic module assembly. In an alternative embodiment, the results of the diagnostic self-test routine are transmitted via a wireless transceiver to a remote device. The remote device can include a wireless interrogator or can be a remote computer system such as a cabin management computer system.

An electronic module assembly (EMA) for use in controlling one or more personal restraint systems. A programmed processor within the EMA is configured to determine when a personal restraint system associated with each seat in a vehicle should be deployed. In addition, the programmed processor is configured to perform a diagnostic self-test to determine if the EMA and the personal restraint systems are operational. In one embodiment, results of the diagnostic self-test routine are displayed on a display included on the electronic module assembly. In an alternative embodiment, the results of the diagnostic self-test routine are transmitted via a wireless transceiver to a remote device. The remote device can include a wireless interrogator or can be a remote computer system such as a cabin management computer system.

Computing nodes in a peer-to-peer network that can receive data about an accident in response to a vehicle having an accident. A computing device in the peer-to-peer network can generate a record of the data and store, in persistent storage, a copy of the record. The computing device can also transmit the record, via peer-to-peer connections, to other computing nodes in the network. The nodes in the network, when receiving the record, can each store a copy of the record and broadcast the record to one or more additional computing nodes in the network to cause the one or more additional computing nodes to store one or more additional copies of the record. Also, in response to an inquiry about the accident, the node can provide the record. And the node can participate in a determination of a network consensus in the network about validity of the record.

Computing nodes in a peer-to-peer network that can receive data about an accident in response to a vehicle having an accident. A computing device in the peer-to-peer network can generate a record of the data and store, in persistent storage, a copy of the record. The computing device can also transmit the record, via peer-to-peer connections, to other computing nodes in the network. The nodes in the network, when receiving the record, can each store a copy of the record and broadcast the record to one or more additional computing nodes in the network to cause the one or more additional computing nodes to store one or more additional copies of the record. Also, in response to an inquiry about the accident, the node can provide the record. And the node can participate in a determination of a network consensus in the network about validity of the record.