Abstract: A vehicle including a first sensor, a second sensor and a processor is disclosed. The first sensor may be configured to measure first inputs associated with a vehicle wheel, and the second sensor may be configured to measure second inputs associated with the vehicle wheel. The processor may estimate a first distance travelled by the vehicle wheel for a predefined time duration on a vehicle trip based on the first inputs, and a second distance travelled by the vehicle wheel for the predefined time duration on the vehicle trip based on the second inputs. The processor may further calculate a difference between the second distance and the first distance, and perform a predefined action when the difference may be greater than a predefined threshold.

Abstract: Communications between computing devices connected via a network can be secured with digital keys (e.g., encryption keys). The key may be updated based on states of a state machine. The computing device may receive a key update command to update a key value. In response to the key update command, the computing device may update the key value upon determining that the computing device is in a first state based on state data defining the first state, the state data including the key value, a machine mode specifying a current operating environment, and a lock value specifying that memory storing the key value is one of locked or unlocked.

Abstract: A method to facilitate secure communication between a first tire pressure monitoring system (TPMS) and a vehicle is disclosed. The method may include obtaining a trigger signal to auto-locate the first TPMS from a plurality of TPMSs. The method may further include obtaining learning mode advertisements from each TPMS responsive to obtaining the trigger signal. The learning mode advertisements may include a random value and a test value associated with each TPMS. The test value may be an encrypted value generated using TPMS keys. The method may further include calculating a vehicle test value using the random value and a vehicle pre-shared key, and comparing the test value with the vehicle test value. The method may further include auto-locating the first TPMS based on the comparison. The method may include receiving vehicle tire condition data from the first TPMS responsive to auto-locating the first TPMS.

Abstract: A vehicle including a first sensor, a second sensor and a processor is disclosed. The first sensor may be configured to measure first inputs associated with a vehicle wheel, and the second sensor may be configured to measure second inputs associated with the vehicle wheel. The processor may estimate a first distance travelled by the vehicle wheel for a predefined time duration on a vehicle trip based on the first inputs, and a second distance travelled by the vehicle wheel for the predefined time duration on the vehicle trip based on the second inputs. The processor may further calculate a difference between the second distance and the first distance, and perform a predefined action when the difference may be greater than a predefined threshold.

Abstract: Systems and methods for implementing two-way tire pressure monitoring system (TPMS) learning and authenticated pairing. A random value may be used to determine a test value and a pairing PIN by use of a HMAC (Hash-based Message Authentication Code) function and a pre-shared key that is accessible to a TPMS sensor and a vehicle (e.g., controller system thereof). The random value and test value may be broadcasted by the TPMS sensor and received by the vehicle. The vehicle may calculate the pairing PIN using the random value and the pre-shared key.

Abstract: This disclosure generally pertains to systems and methods that guard against information piracy by selective activation of tire pressure sensor learning operations in a vehicle. An example method can include receiving, by a processor in a vehicle, a sensor signal from a wheel movement sensor provided in a wheel of the vehicle. The processor may evaluate the sensor signal and detect a tire-changing operation. The tire-changing operation may be detected, for example, based on a major surface of the wheel coming in contact with ground or determining that an angular displacement of a major surface of the wheel exceeds a threshold angle. The processor may then enable a learning mode of operation that can include a wireless pairing of a tire pressure sensor in the wheel to a tire pressure monitoring system of the vehicle. The processor disables the learning mode of operation after a period of time.

Abstract: A method to facilitate secure communication between a first tire pressure monitoring system (TPMS) and a vehicle is disclosed. The method may include obtaining a trigger signal to auto-locate the first TPMS from a plurality of TPMSs. The method may further include obtaining learning mode advertisements from each TPMS responsive to obtaining the trigger signal. The learning mode advertisements may include a random value and a test value associated with each TPMS. The test value may be an encrypted value generated using TPMS keys. The method may further include calculating a vehicle test value using the random value and a vehicle pre-shared key, and comparing the test value with the vehicle test value. The method may further include auto-locating the first TPMS based on the comparison. The method may include receiving vehicle tire condition data from the first TPMS responsive to auto-locating the first TPMS.

Abstract: Systems and methods for implementing two-way tire pressure monitoring system (TPMS) learning and authenticated pairing. A random value may be used to determine a test value and a pairing PIN by use of a HMAC (Hash-based Message Authentication Code) function and a pre-shared key that is accessible to a TPMS sensor and a vehicle (e.g., controller system thereof). The random value and test value may be broadcasted by the TPMS sensor and received by the vehicle. The vehicle may calculate the pairing PIN using the random value and the pre-shared key.

Abstract: This disclosure generally pertains to systems and methods that guard against information piracy by selective activation of tire pressure sensor learning operations in a vehicle. An example method can include receiving, by a processor in a vehicle, a sensor signal from a wheel movement sensor provided in a wheel of the vehicle. The processor may evaluate the sensor signal and detect a tire-changing operation. The tire-changing operation may be detected, for example, based on a major surface of the wheel coming in contact with ground or determining that an angular displacement of a major surface of the wheel exceeds a threshold angle. The processor may then enable a learning mode of operation that can include a wireless pairing of a tire pressure sensor in the wheel to a tire pressure monitoring system of the vehicle. The processor disables the learning mode of operation after a period of time.

Abstract: Detection and prevention of resource drain from unauthorized wireless device connections is provided. Responsive to receiving of a connection request from a connecting device, a pre-authentication message is sent to the connecting device, the pre-authentication message including a challenge value. A vehicle hash result is computed using a hash function taking the challenge value and the unique identifier of the vehicle as inputs. A device hash result is received from the connecting device. Responsive to a match of the vehicle hash result and the device hash result, additional hardware of the vehicle is activated to perform a secondary authentication of the connecting device. Responsive to a mismatch, authentication of the connecting device is rejected without activation of the additional hardware, thereby avoiding key-off load from the additional hardware in instances where pre-authentication of the connecting device fails.

Abstract: Utilizing an access device is provided. A command mapping of user input to RKE commands is utilized to identify a RKE command based on the user input to one or more motion or orientation sensor of the access device. Responsive to the environmental input from one or more environmental sensors of the access device being indicative of command entry, a transceiver of the access device is activated, the RKE command is sent, and the transceiver is deactivated. Otherwise, the user input of the RKE command is ignored.

Abstract: This disclosure describes a vehicle access card with an integrated display. An example vehicle access card may include a radio-frequency identification (RFID) tag configured to provide a user access to a vehicle. The example vehicle access card may also include an electronic ink display configured to display information relating to the vehicle.

Abstract: Enhancing operation of powered tools is provided. Access permissions for tools and access devices are stored to in vehicle memory. Presence of a tool within proximity to the vehicle is detected. Presence of access devices configured to provide access to the vehicle are detected utilizing passive access functionality of the vehicle. Access to an auxiliary power source of the vehicle is allowed for powering the tool responsive to the access permissions granting access due to the presence of the access devices.

Abstract: A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to detect a roadside device via at least one vehicle sensor of a plurality of vehicle sensors; determine a location of a vehicle based on a fixed location of the roadside device; determine a location correction adjustment, wherein the location correction adjustment comprises a difference between an assumed location of the vehicle and the determined location of the vehicle, wherein the assumed location is obtained from a navigation system of the vehicle; and adjust the assumed location based on the location correction adjustment.

Abstract: As a computing device travels on a trip from a starting location to a destination location, geographic coordinates are captured and stored. The geographic coordinates are tested against an obscuring condition to determine a portion of the geographic coordinates that satisfy the obscuring condition. Based on the determined portion of geographic coordinates satisfying the obscuring condition, altering the geographic coordinates in the determined portion of the geographic coordinates to reduce their precision or accuracy. The computing device transmits the altered geographic coordinates and the geographic coordinates that did not satisfy the obscuring condition.

Abstract: Attendance for an event is provided. Wireless sensors are utilized to determine locations over a period of time of wireless devices of attendees of an event. Event materials are provided to the wireless devices using the wireless sensors. Attendance of the attendees at the event is indicated based on the locations over time of the wireless devices of the attendees of the event.

Abstract: Utilizing an access device is provided. A command mapping of user input to RKE commands is utilized to identify a RKE command based on the user input to one or more motion or orientation sensor of the access device. Responsive to the environmental input from one or more environmental sensors of the access device being indicative of command entry, a transceiver of the access device is activated, the RKE command is sent, and the transceiver is deactivated. Otherwise, the user input of the RKE command is ignored.

Abstract: A vehicle subscribed to an authentication system includes a wireless transceiver; and a controller, configured to responsive to receiving a wireless signal from a device identified as a key fob via the wireless transceiver, obtain history data reflecting time and location of the key fob associated with the vehicle detected via one or more entities subscribed to the authentication system, calculate a sanity value using the history data, such that a distant detection location from the vehicle location at a time before present time results in a lesser sanity value and a nearby detection location from the vehicle location at substantially the same time before the present time results in a greater sanity value, calculate a sanity threshold using at least one of the present time and the vehicle location, and responsive to the sanity value being greater than the sanity threshold, unlock a door of the vehicle.

Abstract: A computer-implemented method includes predicting, via a predictive analytical model, a time interval associated with a future key-on event for a vehicle. The predictive analytical model is based at least in part on key-on event data. The method includes generating, based at least in part on the predicted time interval, a power mode instruction configured to cause a vehicle Telematics Control Unit (TCU) or Phone as a Key (PaaK) system to change a TCU state from a low energy state to a higher energy state, and transmitting, based on the predicted time interval, the power mode instruction to the vehicle TCU.

Abstract: Detection and prevention of resource drain from unauthorized wireless device connections is provided. Responsive to receiving of a connection request from a connecting device, a pre-authentication message is sent to the connecting device, the pre-authentication message including a challenge value. A vehicle hash result is computed using a hash function taking the challenge value and the unique identifier of the vehicle as inputs. A device hash result is received from the connecting device. Responsive to a match of the vehicle hash result and the device hash result, additional hardware of the vehicle is activated to perform a secondary authentication of the connecting device. Responsive to a mismatch, authentication of the connecting device is rejected without activation of the additional hardware, thereby avoiding key-off load from the additional hardware in instances where pre-authentication of the connecting device fails.