An apparatus includes a vehicle control system (VCS) coupled to a computer of a vehicle via a CAN bus and configured to present selectively appearance of a presence in the vehicle of a smartkey, e.g., by energizing and de-energizing an actual smartkey of the vehicle. The VCS includes a VCS and a Bluetooth VCS transceiver. The VCS stores VCS software. The apparatus also includes a smartphone with a Bluetooth transceiver, and storing an app. The mobile device is paired with the VCS to communicate with the VCS via a Bluetooth link. The app configures the smartphone to receive menu selections from a user, to generate communications that identify smartkey-enabled features of the VCS that correspond to the selections, and to send to the VCS the communications through the link. The VCS software configures the VCS to receive the communications and cause the vehicle to perform actions corresponding to the communications.

A communication apparatus executes authentication via wireless communication with a mobile device and, based on an authentication process, controls execution of a vehicle operation requested by a user. The communication apparatus includes a detection unit configured to detect closure of a door of a vehicle, an authentication processing unit configured to determine, in response to detection of the closure of the door by the detection unit, whether a specific mobile device is inside the vehicle by executing a first authentication process corresponding to a vehicle operation for which a highest security is set, among a plurality of vehicle operations that can be requested by the user, and an execution unit configured to execute, when the authentication processing unit has determined that the specific mobile device is inside the vehicle, a requested vehicle operation requestable from an inside of the vehicle and included in the plurality of vehicle operations.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous electric vehicles may be automatically recharged by routing the vehicles to available charging stations when not in operation, according to methods described herein. A charge level of the battery of an autonomous electric vehicle may be monitored until it reaches a recharging 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 recharge may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a charging station, recharge the battery, and return to its starting location in order to recharge when not in use.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.

A tire theft monitoring system includes a transmitter attached to a tire and configured to transmit tire ID information, a second database configured to store the vehicle ID information of the vehicle and contact information of an owner of the vehicle in association with each other, and a monitoring apparatus mounted on a vehicle to be monitored, and the monitoring apparatus includes a reader configured to perform near field communication with the transmitter attached to the tire mounted on the vehicle to be monitored, to acquire the tire ID information, and a controller configured to, in a case where the reader cannot acquire the tire ID information, determine that the tire identified with the tire ID information has been stolen and make a notification to contact information stored in the second database in association with vehicle ID information of the vehicle to be monitored.

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.

A communication device mounted at a vehicle, the communication device including: a blocking section that, in a case in which communication with a second mobile device that is different from a first mobile device that transmits key information for the vehicle is interrupted, performs a blocking process to block an unlocking of the vehicle or a starting of the vehicle that is performed based on received key information.

A vehicle security system may be automatically activated when a vehicle (e.g., car or truck) is temporarily stopped. Specifically, if a car is stopped at a gas station or other type of temporary stop (e.g., where a car would not be fully closed and locked) the vehicle security system may engage (e.g., based on opening of a gas cap cover). The vehicle security system monitors for theft of contents from inside a vehicle in a temporary stopped state. Sensors monitor if a passerby reaches into an open (or partially open) window to grab a parcel, handbag, phone, etc. from inside the vehicle. In a temporary stop condition, a vehicle may not be fully locked to engage a standard anti-theft security system. If a driver's attention is diverted away from the vehicle during the temporary stopped condition a quick and quiet theft scenario (e.g., a reach and grab) may be attempted.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.