A vehicle safety system includes an actuatable restraint for helping to protect a vehicle occupant and a controller for controlling actuation of the actuatable restraint in response to a vehicle rollover event. The controller is configured to execute a discrimination algorithm comprising at least one classification metric that utilizes at least one of vehicle pitch rate (P_RATE) and vehicle roll acceleration (D_RATE) to discriminate at least one of a ramp rollover event and a soil rollover event from an embankment rollover event. The discrimination algorithm determines a classification of the vehicle rollover event as one of a ramp rollover event, a soil rollover event, and an embankment rollover event. The controller is also configured to select a deployment threshold for deploying the actuatable restraint. The deployment threshold corresponds to the classification of the vehicle rollover event.

An assembly includes a seat. The assembly includes a first airbag and a second airbag each supported by the seat and inflatable to an inflated position. The assembly includes a zipper connecting the first airbag to the second airbag in the inflated position. The assembly includes a non-inflatable panel connected to the first airbag and the second airbag. The non-inflatable panel has a releasable fastener releasably connected to one of the first airbag or the second airbag.

A method includes receiving a first set of images from an image capture device of a vehicle. The method also includes performing a first analysis of movement of biomechanical points of occupants of the vehicle in the first set of images. The method further includes receiving an indication that a traffic incident has occurred. The method also includes receiving a second set of images from the image capture device corresponding to when the traffic incident occurred. The method further includes performing a second analysis of movement of the biomechanical points of the occupants in the second set of images. The method also includes determining a likelihood of injury or a severity of injury to the occupants based on the first analysis of movement and the second analysis of movement.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A method for providing accident parameters to a person outside a vehicle after an accident includes ascertaining a first accident parameter that is representative of the severity and/or a consequence severity using a control unit of the vehicle, and determining a display device of the vehicle that can display the first accident parameter following the accident. The first accident parameter is provided on the determined display, and a second accident parameter that is representative of the severity and/or the accident consequence severity is ascertained. The method also includes receiving a release signal for the second accident parameter from the person outside the vehicle following the accident involving the vehicle, and verifying the release signal for the second accident parameter using the control unit of the vehicle. The second accident parameter is provided on the determined display if the release signal was successfully verified by the control unit of the vehicle.

Aspects of the disclosure relate to computing platforms that utilize machine learning to reduce false positive/negative collision output generation. A computing platform may apply machine learning algorithms on received data to generate a collision output. In response to generating the collision output indicating a collision, the computing platform may identify a data collection location. If the data collection location is within a predetermined radius of a false positive collection location, the computing platform may modify the collision output to indicate a non-collision. If the data collection location is not within the predetermined radius, the computing platform may compute a score using telematics data and compare the score to a predetermined threshold. If the score does not exceed the predetermined threshold, the computing platform may modify the collision output to indicate a non-collision. If the score exceeds the predetermined threshold, the computing platform may affirm the collision output indicating a collision.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

A method and system for detecting a vehicle impact and automatically requesting emergency assistance is provided. The system comprises multiple impact sensors located on the vehicle. The impact sensors are configured to communicate with each other as well as with a main control unit.

A method for reactivation of an electrical system of a vehicle comprising a first electrical system operating at a first lower voltage and a second electrical system operating at a second higher voltage, comprising: detecting a fault or a crash situation in the second electrical system; disconnecting a power source of the second electrical system; determining the fault of the second electrical system is no longer present or that the crash situation is resolved; reconnecting the power source to the second electrical system and increasing the voltage of the second electrical system from zero to an intermediate voltage lower than the second voltage; and if a detected current in the second electrical system is higher than a current threshold value; or if a detected voltage of the first electrical system is higher than a voltage threshold value; reducing the voltage of the second electrical system to zero.

System, methods, and other embodiments described herein relate to sensing ingress of water in a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates an ingress of water into the passenger cabin, generating a response to the ingress of the water.