A method, system and computer-usable medium are disclosed for autonomous vehicle (AV) behavior synchronization. The AV driving pattern is adjusted to facilitate an occupant's satisfaction by receiving information as to person to form a driving history. The driving history is analyzed to identify preferences and patterns. Based on the driving history a driving preference model is formed for the person. AV driving algorithm(s) are adjusted based on the driving preference model for the person when the person is an occupant of the AV.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

An operation appropriateness determination system includes an authentication apparatus that identifies an operator on a basis of a feature of the operator and that outputs information for identifying the operator, a biometric sensing apparatus that obtains biological information regarding the operator and that outputs the biological information, an operation sensing apparatus that detects a load of an operation that is being performed by the operator and that outputs operation information indicating the load of the operation, a storage device, and a signal processing apparatus.

A computer includes a processor and a memory storing instructions executable by the processor to receive an input by a first user setting a maximum speed for a vehicle; prevent a second user from operating the vehicle above the maximum speed; permit the second user to operate the vehicle above the maximum speed upon at least one condition being met; in response to permitting the second user to operate the vehicle above the maximum speed, transmit a first collection of vehicle data to the first user; and in response to the second user failing to stop the vehicle at a stop indicator, transmit a second collection of the vehicle data to the first user.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and/or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.

An apparatus including a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to users of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect users of the vehicle based on the objects detected in the video frames, determine a limitation profile for the users, monitor for conditions provided by the limitation profile and generate a reaction if one or more of the conditions are met. The limitation profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users.

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.

The disclosure generally pertains to systems and methods for identifying a location of an occupant in a vehicle. In an example method, a processor deconvolves a vocal utterance by an occupant of a vehicle and also determines an angle of arrival of the vocal utterance. The location of the occupant in the vehicle is then identified by the processor based on evaluating the deconvolved vocal utterance and the angle of arrival of the vocal utterance. Deconvolving the vocal utterance can involve applying a cabin impulse response to the vocal utterance for eliminating undesirable effects that may be imposed upon the vocal utterance by acoustic characteristics of the cabin of the vehicle (echo, sound reflections, sound damping, reverberation etc.). In some applications, the processor may refer to a lookup table to estimate a location of the occupant in the vehicle.

A system and method for determining a change of a customary vehicle driver that include receiving and storing vehicle sensor data from a vehicle for at least one predetermined period of time. The system and method also include determining a vehicle driving pattern for the at least one predetermined period of time based on the vehicle sensor data and determining if there is a change in the customary vehicle driver based on a comparison of a real-time vehicle sensor data with the vehicle driving pattern. The system and method further include controlling at least one vehicle system by executing vehicle settings associated with at least one of: the customary vehicle driver and a newly designated customary vehicle driver based on if the change is determined in the customary vehicle driver.

A control apparatus includes a Wi-Fi communication module, a processor, a controller that controls a component of a vehicle, and a memory, wherein the memory stores at least one piece of position information corresponding to a position in the vehicle, and at least one registered pattern of a gesture, face, or shape, the Wi-Fi communication module transmits a transmission signal to the position corresponding to the at least one piece of position information by a Wi-Fi communication method at a preset frequency and receives a reflection signal reflected from an object in response to the transmission signal, the processor acquires an input pattern of a gesture, face, or shape of the object by analyzing the reflection signal, and retrieves a registered pattern matching the input pattern from the at least one registered pattern, and the controller controls the component according to an instruction corresponding to the retrieved registered pattern.