Methods, apparatuses, systems, and computer program products for wheel theft detection and notification using a tire pressure monitoring system (TPMS) are disclosed. In a particular embodiment, wheel theft detection and notification using a TPMS includes monitoring, by an electronic control unit (ECU) of a vehicle, one or more parameters associated with a tire monitoring sensor (TMS) coupled to a wheel assembly of the vehicle. In this embodiment, the ECU determines, based on the monitored one or more parameters, that the wheel assembly is in a compromised state associated with the wheel assembly being dislocated from the vehicle or in danger of being dislocated from the vehicle. In response to determining that the wheel assembly is in the compromised state, the ECU triggers an alarm of a vehicle security system.

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.

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.

A tamper detection system is disclosed. The tamper detection system may include an electronic control module (ECM) of a machine and a tamper detection module. The tamper detection module may detect, while the machine is powered off, an opening of a switch that is associated with a component of the machine. The opening of the switch may indicate tampering with the component of the machine. The tamper detection module may set, while the machine is powered off, a state of a latch based on detecting the opening of the switch. The state, while set, may indicate that the switch was opened. The tamper detection module may cause, when the machine is powered on, the ECM to provide an indication that tampering with the component of the machine has occurred based on the state.

A wheel fastener alarm assembly is provided having a fastener body with a first portion defining a wrenching surface and a cavity, and a second portion with a threaded portion to attach and detach from a wheel of a vehicle. A sensor array is disposed in the cavity of fastener body to detect an attribute of the fastener body and generate an output signal based on the attribute of the fastener body. An antenna connected to the sensor array to transmit the signal to a remote location. A cap is secured to the first portion of the fastener body and covers the wrenching surface and the cavity opening to define a capped fastener body.

Vehicle occupant monitoring systems and methods detect that an outer handle of the vehicle is used to open a door, and determine a key fob state of the vehicle. On condition that the key fob state of the vehicle is undetected, at least one type of alert is transmitted to a mobile device associated with the vehicle.

Methods and systems for identifying autonomous vehicle users are described herein. An autonomous vehicle may receive a request to transport a first user to a first destination location. While travelling along a route to the first destination location, the autonomous vehicle may receive a request to pick up a second user at a second starting location and transport the second user to a second destination location. The autonomous vehicle may travel to the second starting location when the second user is within the threshold distance of the autonomous vehicle. Upon arriving at the second starting location, the autonomous vehicle may detect whether a person approaching the vehicle is the second user by detecting a biometric identifier for the person. As a result, the second user may be allowed to enter the autonomous vehicle and/or the autonomous vehicle may begin travelling to the second destination location.

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.

A method and an apparatus for detecting and classifying sounds around a vehicle via neural network machine learning are described. The method involves an audio recognition system that may determine the origin of the sounds being inside or outside of a vehicle and classify the sounds into different categories such as adult, child, or animal sounds. The audio recognition system may communicate with a plurality of sensors in and around the vehicle to obtain information of conditions of the vehicle. Based on information of the sounds and conditions of the vehicles, the audio recognition system may determine whether an occupant or the vehicle is at risk and send alert messages or issue warning signals.

A tamper detection system is disclosed. The tamper detection system may include an electronic control module (ECM) of a machine and a tamper detection module. The tamper detection module may detect, while the machine is powered off, an opening of a switch that is associated with a component of the machine. The opening of the switch may indicate tampering with the component of the machine. The tamper detection module may set, while the machine is powered off, a state of a latch based on detecting the opening of the switch. The state, while set, may indicate that the switch was opened. The tamper detection module may cause, when the machine is powered on, the ECM to provide an indication that tampering with the component of the machine has occurred based on the state.