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.

Aspects of the disclosure relate to enabling roadside assistance to a vehicle that requires assistance having an autonomous driving mode. For instance, a technician may be assigned to the vehicle that requires assistance. A signal corresponding to user input at a remote computing device requesting a change to a state of the vehicle may be received. The signal may be based on details of the assigned technician. Based on the validation, an instruction may be sent to the vehicle to change the state of the vehicle.

A system for preventing an unauthorized and/or hazardous use of a vehicle. The system may include a first sensor; a driver recognition module in communication with the first sensor, the driver recognition module is configured to determine an identity of a driver based on readings of the first sensor; a second sensor; a driver condition determination module in communication with the second sensor, the driver condition determination module is configured to determine a condition of the driver based on readings of the second sensor; and a hazardous driving prevention module in communication with the driver recognition module and driver condition determination, the hazardous driving prevention module is configured to determine and perform one or more actions of a predetermined set of actions based on the determined identity and determined condition of the driver.

A vehicle theft-prevention apparatus can include a locking mechanism with an engagement component. The locking mechanism can be engaged via a first action to apply a force on the vehicle when in an engaged state. The locking mechanism can disengage, via a second action, to withdraw the force from the vehicle when in the engaged state. The locking mechanism can maintain a current state of the force in response to the first action and the second action when in a disengaged state. One or more computing devices can receive a command to enable or disable the locking mechanism. In response to receiving the command, the computing device can cause the engagement component to transition the locking mechanism from the disengaged state to the engaged state or from an engaged state to a disengaged state.

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 autonomously parking and retrieving vehicles are disclosed. Available parking spaces or parking facilities may be identified, and the vehicle may be navigated to an available space from a drop-off location without passengers. Special-purpose sensors, GPS data, or wireless signal triangulation may be used to identify vehicles and available parking spots. Upon a user request or a prediction of upcoming user demand, the vehicle may be retrieved autonomously from a parking space. Other vehicles may be autonomously moved to facilitate parking or retrieval.

A vehicle theft-prevention system can include a plurality of sensors configured to sense measurements proximate to a vehicle and a body configured to secure to a window of the vehicle. The body can include a wireless transceiver and at least one computing device coupled to the plurality of sensors and the wireless transceiver. The at least one computing device can be configured to receive, via the wireless transceiver, an indication to enter an armed mode from an unarmed mode. The at least one computing device can be configured to, in response to the indication, transition to the armed mode, wherein transitioning to the armed mode comprises setting a configuration of at least one property of a subset of the plurality of sensors.

A vehicle includes a first sensor that senses a state of the vehicle and a second sensor that senses outside of the vehicle. A computing device is configured to receive signals from the sensors and to control rotating and turning of the wheels. While the vehicle is parked, the computing device determines according to a signal received from the sensors, that a condition is satisfied. The condition may be associated with a particular wheel. Based on determining that the condition is satisfied, and while the vehicle remains parked, the computing device initiates automatically rotating or turning the particular wheel associated with the condition.

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. Vehicle collision and/or smart home incident monitoring, damage detection, and responses are also described, with particular focus on the particular challenges associated with incident response for unoccupied vehicles and/or smart homes. Operating data associated with the autonomous vehicle and/or smart home may be received. Within the operating, an unusual condition indicative of a likelihood of incident may be detected. Based on the unusual condition, it may be determined that the incident occurred. Accordingly, a response to the incident may be determined. The response may be implemented by the autonomous vehicle and/or smart home.

A vehicle theft-prevention apparatus can include a slip clutch mechanism, a locking mechanism, and a cylindrical body including a first portion and a second portion. The first portion can be configured to rotate about the second portion. The locking mechanism can be configured to engage based on rotation of the first portion relative to the second portion in a first direction, and disengage based on a rotation of the first portion relative to the second portion in a second direction. The slip clutch mechanism can be configured to prevent the locking mechanism from further engaging from rotation in the first direction relative to the second portion based on a magnitude of force applied.