Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. In certain aspects, with the customer's permission, a computer-implemented method for updating an autonomous operation feature may be provided. An indication of a software update associated with the autonomous operation feature may be received, and several autonomous or semi-autonomous vehicles having the feature may be identified. The update may be installed within the several vehicles, such as via wireless communication. Also, a change in a risk level associated with the update to the autonomous operation feature may be determined, and an insurance discount may be determined or adjusted. As a result, an insurance discount may be provided to risk averse customers that affirmatively share their vehicle data with an insurance provider, and promptly and remotely receive new versions of software that operate autonomous vehicle safety features.

A method may include obtaining sensor data relating to an autonomous vehicle (AV) and a total measurable world around the AV. The method may include identifying an operating environment of the AV and determining a projected computational load for computing subsystems that facilitate a driving operation performable by the AV corresponding to the identified environment. The method may include off-loading first computing subsystems of the computing subsystems in which computations of the first computing subsystems may be processed by an off-board cloud computing system and processing computations associated with second computing subsystems of the computing subsystems by an on-board computing system. The method may include obtaining first computational results corresponding to the computations processed relating to the first computing subsystems and determining the driving operation of the AV based on the first computational results and second computational results corresponding to computations processed relating to the second computing subsystems.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, vehicle operation safety may be enhanced. An environmental or weather condition (e.g., hail, storm, wind) may be identified that presents a hazard to an autonomous or semi-autonomous vehicle. With the customer's permission, when it is determined that the vehicle is parked in an unprotected location, a protected or covered location to park the vehicle may be identified, a route to that location may be determined, and the vehicle may be directed to travel automatically to the protected location under the operation of autonomous operation features. Insurance discounts or cost savings may be provided to risk averse insurance customers based upon the self-parking functionality that will reduce or mitigate damage to insured vehicles caused by adverse conditions, falling trees or power lines, hail, etc.

A control unit is presented for controlling a driving unit arranged for adjustment of one or more first air guiding flaps of a motorised vehicle between a first outer position and a second outer position. The control unit comprises a communication module for communicating with a vehicle control network for receiving first adjustment instructions for adjusting the first flap, a power supply module comprising an input power terminal for receiving power from a vehicle power network and a first output power terminal for supplying a first current to the driving unit. The control unit further comprises a current sensor module for sensing variations in the first supply current and a control module arranged to control the first supply current in accordance with the adjustment instructions and the sensed variations. By separating the control module from the driving unit, functionality of the control module may be shared over multiple driving units.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status and/or configuration of autonomous operation features of an autonomous or semi-autonomous vehicle may be determined, such as via an on-board computer system or mobile device, and/or then directly or indirectly wirelessly communicated via data transmission from the vehicle computer system or mobile device to a remote server. An adjustment to one or more risk levels associated with operation of the autonomous or semi-autonomous vehicle may also be determined, and an auto insurance policy, premium, or discount may be adjusted based upon the adjustment to the risk levels and presented to the customer for their review and approval. As a result, insurance cost savings may be passed onto risk averse customers that opt into to a rewards program.

An example operation includes one or more of determining, by a transport, that an issue will soon occur, determining, by the transport, a time the issue will occur, and displaying, by the transport, the time the issue will occur. The issue is based on sensor data approaching a threshold within a period of time that is faster than an average period of time.

In one aspect, a computer system for vehicle configuration verification, and/or detecting unauthorized vehicle modification may be provided. In some exemplary embodiments, the computer system may include a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (1) receiving a vehicle image, including a vehicle identifier and at least one software module; (2) calculating a configuration hash value of the at least one software module; generating a first data block including the configuration hash value, a first index value, the vehicle identifier, and a digital signature; (3) storing the first data block in a memory; and/or (4) transmitting the first data block to any number of network participants using a distributed network to facilitate vehicle software configuration verification.

A control arithmetic device comprises a mixed state equation generation unit to generate a plurality of vehicle state equations each including one or more first state variables that are acquisition targets of one or more internal sensors installed in a vehicle, and generate a first mixed state equation by weighting each of the vehicle state equations using a first weighting function, a vehicle state acquisition unit to acquire a current value of each first state variable by the one or more internal sensors, a target route generation unit to generate a target route of the vehicle based on peripheral information acquired by one or more external sensors installed in the vehicle, and a target value arithmetic unit to calculate a target control value for the vehicle to travel along the target route based on the first mixed state equation and the current value of each first state variable, and output the target control value to a control unit that controls the vehicle.