A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

Techniques for controlling a protection apparatus are provided. An example method includes detecting an offset collision or diagonal collision, and activating a suitable protection apparatus for protecting the side or head of a passenger at a timing in accordance with the degree of collision. An example controller may include a level calculation part for calculating a level of a front face collision, a ΔV.sub.offset calculation part for making an offset adjustment of a speed (ΔV), and a determination part for determining an offset collision or diagonal collision based on the level of the front face collision and the ΔV.sub.offset.

A safety system and control method for a pneumatic seat of a vehicle, and a computer-readable medium, the pneumatic seat (10) including a plurality of airbags (101, 102, 103, 104, 105, and 106) corresponding to body parts of an occupant, an information collection module, an information integration module (3), and a control module (4), where the information collection module is configured to collect vehicle body data, motion information, and external environment information of the vehicle, the information integration module (3) is configured to determine a current working scenario of the vehicle based on the vehicle body data, the motion information, and the external environment information; and the control module (4) is configured to inflate a seat cushion airbag (105) when it is determined that the current working scenario is a first working scenario, so as to partially deploy the seat cushion airbag (105); and is configured to fully inflate and deploy the seat cushion airbag (105) when it is determined that the current working scenario is a second working scenario.

A safety system and control method for a pneumatic seat of a vehicle, and a computer-readable medium, the pneumatic seat (10) including a plurality of airbags (101, 102, 103, 104, 105, and 106) corresponding to body parts of an occupant, an information collection module, an information integration module (3), and a control module (4), where the information collection module is configured to collect vehicle body data, motion information, and external environment information of the vehicle, the information integration module (3) is configured to determine a current working scenario of the vehicle based on the vehicle body data, the motion information, and the external environment information; and the control module (4) is configured to inflate a seat cushion airbag (105) when it is determined that the current working scenario is a first working scenario, so as to partially deploy the seat cushion airbag (105); and is configured to fully inflate and deploy the seat cushion airbag (105) when it is determined that the current working scenario is a second working scenario.

Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.

A vehicle that has an automatic notification function includes a first communication device that transmits emergency information to a server apparatus of an automatic emergency notification system via a base station in a case where an emergency situation arises, a control unit that automatically transmits the emergency information to the server apparatus by using the first communication device when the emergency situation arises, and a second communication device that restrictedly communicates with an external device. The control unit immediately transmits the emergency information to the server apparatus by using the first communication device if the first communication device is capable of immediately transmitting the emergency information, and releases communication restriction on the second communication device to transmit the emergency information to the server apparatus by using the second communication device and the external device if the first communication device is not capable of immediately transmitting the emergency information.

A vehicle that has an automatic notification function includes a first communication device that transmits emergency information to a server apparatus of an automatic emergency notification system via a base station in a case where an emergency situation arises, a control unit that automatically transmits the emergency information to the server apparatus by using the first communication device when the emergency situation arises, and a second communication device that restrictedly communicates with an external device. The control unit immediately transmits the emergency information to the server apparatus by using the first communication device if the first communication device is capable of immediately transmitting the emergency information, and releases communication restriction on the second communication device to transmit the emergency information to the server apparatus by using the second communication device and the external device if the first communication device is not capable of immediately transmitting the emergency information.

An impact detection system for a vehicle and an impact detection method therefore are provided. The impact detection system includes an impact value calculator that determines an impact value corresponding to a magnitude of an impact applied to a vehicle, an impact location estimator that estimates a location to which the impact is applied in the vehicle and generates an impact location signal including a parameter value corresponding to the estimated location, and an effective impact determining device that compares the impact value with an impact detection reference value for each location of the vehicle, corresponding to the parameter value.

In general, techniques are described by which a computing system detects low-impact collisions. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine whether an object collided with a vehicle based on a comparison of data received from at least one motion sensor configured to measure at least an acceleration of the vehicle and data received from a plurality of level sensors, wherein each level sensor is configured to measure a relative position between a body of the vehicle and a respective wheel of a plurality of wheels of the vehicle. Execution of the instructions further causes the at least one processor to perform one or more actions in response to determining that the object collided with the vehicle.