A system for an automated vehicle includes a user input interface and an electronic controller. The electronic controller is programmed with instructions to operate at least one aspect of the automated vehicle, is configured to process information input through the user input interface, the information including data directed to predetermined parameters related to the at least one aspect of the automated vehicle at a predetermined location, and update the instructions based on the information to alter the least one aspect of the automated vehicle.

A method for evaluating contextual risk profiles at a computing device (110, 212, 312) in a vehicle (310), the method including obtaining information about a proximate vehicle (320, 330); utilizing the information to create a risk profile for the proximate vehicle (320, 330); and based on the risk profile, initiating an action at computing device (110, 212, 312).

Implementations described herein relate to leveraging corresponding streams of speed readings of a vehicle generated by different speed sensors of different computing devices to automatically determine an updated tire size of tires of the vehicle. For example, while a user of the vehicle is driving, a first stream of speed readings can be generated by a vehicle speed sensor of an in-vehicle computing device of the vehicle and a second stream of speed readings can be generated by a mobile speed sensor of a mobile computing device of the user of the vehicle. Processor(s) can obtain the different streams of speed readings from the different computing devices and process the different streams using various operations to determine the update tire size of the tires of the vehicle. The updated tire size can be subsequently utilized to update operational parameter(s) of the vehicle that influence how the vehicle operates.

Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

A vehicle control system includes a memory, a first processor mounted in a vehicle, and a second processor different from an in-vehicle device. The first processor and the second processor are configured to execute acquisition processing, operation processing, reward calculation processing, and update processing. The first processor is configured to execute at least the acquisition processing and the operation processing, and the second processor is configured to execute the update processing.

This application is directed to on-vehicle behavior modeling of vehicles. A vehicle has one or more processors, memory, a plurality of sensors, and a vehicle control system. The vehicle collects training data via the plurality of sensors, and the training data include data for one or more vehicles during a collection period. The vehicle locally applies machine learning to train a vehicle driving behavior model using the collected training data. The vehicle driving behavior model is configured to predict a behavior of one or more vehicles. The vehicle subsequently collecting sensor data from the plurality of sensors and drives the vehicle by applying the vehicle driving behavior model to predict vehicle behavior based on the collected sensor data. The vehicle driving behavior model is configured to predict behavior of an ego vehicle and/or a distinct vehicle that appears near the ego vehicle.

This driving assistance device includes a target acceleration correcting unit configured as follows: if there was input, from a coupling detection unit, of detection results indicating that a trailer has been coupled, the target acceleration correcting unit outputs a target acceleration, output from an ACC unit, as-is to a drive system; and if there was input of detection results indicating that a trailer (2) has not been coupled, the target acceleration correcting unit corrects to a smaller value the target acceleration, output from the ACC unit, and outputs said corrected target acceleration to the drive system.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.

The system comprises input means for receiving user data from associated user monitoring means that each monitor at least one respective attribute of the user of the vehicle. The user data is indicative of the plurality of respective attributes. A plurality of inference modules each receive user data from the user monitoring means, and each determine a respective inference of a cognitive state of the user based on the received user data. Each inference module is arranged to output user state data indicative of the determined inference of the cognitive state of the user. An inference fusion module receives the user state data from each of the plurality of inference modules to determine an inference of an aggregated cognitive state of the user and to output cognitive state data indicative of the aggregated cognitive state for controlling the vehicle functions.

A method for adjusting apparatuses of a vehicle including multiple zones having adjustable apparatuses in the vehicle interior. A setting of the apparatuses that is individually customized to a respective person is stored in a respective user account associated with a mobile terminal of the respective person. The respective setting is controlled by way of a control unit in accordance with the respective user account. Each zone is assigned a vehicle exterior area that is monitored by a vehicle authorization unit. The vehicle authorization unit authenticates the respective person, on the person's coming into the vehicle exterior area of the respective zone, by way of the mobile terminal in his possession, and provides the control unit with the associated user account. The control unit responds to a first person's coming into the exterior area of the respective zone by adjusting the apparatuses of the respective zone in the vehicle interior.