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 an apparatus for monitoring a motorcycle. Based on the acceleration-relevant data, a vehicle motion and a vehicle position in three-dimensional space are estimated. The vehicle position in space is analyzed and is evaluated as a normal or a critical riding state. A detection direction of a sensor unit is predefined in such a way that in an upright normal resting position of the motorcycle the detection direction lies in a horizontal plane, and the detected acceleration-relevant data encompass a first acceleration component in a longitudinal vehicle direction and a second acceleration component in a transverse vehicle direction. A riding state evaluated as critical is plausibilized with the estimated vehicle motion in order to recognize a critical resting position after an accident. An emergency call is generated when a critical resting position after an accident is recognized.

Disclosed are an apparatus and a method of requesting an emergency call (E-Call) for a vehicle accident, which request an E-Call for a vehicle accident by using driving information obtained during travelling of a vehicle. An apparatus for requesting an E-Call for a vehicle accident according to the present invention includes: a travelling information detecting unit configured to detect travelling information about a vehicle for each predetermined time; a vehicle accident determining unit configured to determine whether an accident occurs in the vehicle based on the travelling information; and an E-Call signal transmitting unit configured to transmit an E-Call signal for the vehicle accident with a current location of the vehicle when it is determined that the accident occurs in the vehicle.

A method of assistance to at least one occupant of a vehicle involved in an accident includes detecting a state of the vehicle resulting from the accident, activating a device to measure a physiological state of the occupant, collecting physiological data relating to the occupant by at least one dedicated measurement device, recording the data collected, and sending a message containing the data relating to the physiological state of the occupant to a remote data storage server, via a telematic control unit on board the vehicle. The collecting the physiological data is carried out recurrently at a regular time interval from a time of the detecting the state of the vehicle resulting from the accident. The sending the message is carried out automatically after each of the recording of the data collected in the collecting.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.

A vehicle safety system of a vehicle facilitates safe exigency ingress into a vehicle. The vehicle safety system may receive data associated with a condition of the vehicle (e.g., from sensors, components, remote signals, passenger input, etc.). Based at least in part on the data associated with the condition of the vehicle, the vehicle safety system may detect a triggering event associated with the ingress of a passenger compartment of the vehicle. Based at least in part on the triggering event, the vehicle safety system may perform a vehicular safety measure associated with ingress to the passenger compartment of the vehicle.

A protective system for a motor vehicle with automatic electrical seat position control and/or automatic electrical steering wheel adjustment is provided. The protective system includes a seat position control unit, a steering wheel adjustment control unit, an accident detection device and a communications connection. The seat position control unit is deactivates the automatic electrical seat position control. The steering wheel adjustment control unit is deactivates the automatic electrical steering wheel adjustment. The accident detection device detects a traffic accident of the motor vehicle. The communications connection connects the accident detection device to the seat position control unit and/or the steering wheel adjustment control unit. The accident detection device outputs at least one accident signal to the communications connection in the event of the detection of a traffic accident of the motor vehicle.

A vehicle door lock system includes an interior door handle for a rear door. A door release switch is mechanically connected to the interior door handle. A child door lock switch for the rear door is accessible by a driver. A power release door latch for the rear door is electrically connected to the door release switch and mechanically connected to the interior door handle. A mechanical child door lock switch is located on the rear door and that is mechanically connected to the power release door latch. A control module communicates with the child door lock switch, the power release door latch and the door release switch. The control module is configured to electrically actuate the power release door latch when the mechanical child door lock switch is in a locked position, the child door lock switch has an unlocked state and the door release switch is in an active state.