An information processing device includes: a reception unit that receives setting, by a driver of a vehicle, of a provision range of vehicle information about the vehicle to be provided to a user who wishes to use the vehicle information, before the vehicle information is provided to the user; an acquisition unit that acquires the vehicle information; and a provision unit that provides the vehicle information that is included in the provision range acquired by the acquisition unit to the user.

A vehicular breaking force control system that includes a control device including a processor that acquires a plurality of longitudinal accelerations from a driving assistance system, and calculates a driving/braking request when the vehicle is in a coasting state in which an acceleration operation or a deceleration operation are not performed during running of the vehicle. The processor further acquires a driving force lower limit set for a powertrain actuator having a set gear ratio, and distributes the driving/braking request to at least one of (i) a powertrain system including the powertrain actuator and (ii) a brake system including a brake actuator. The driving/braking request is distributed to the at least one of the powertrain system and the brake system based on the acquired driving force lower limit.

A method for controlling a vehicle, an electronic device, a storage medium, and a vehicle are provided, related to a field of artificial intelligence technology, in particular to a field of autonomous driving and a field of computer vision. The method for controlling a vehicle includes: determining, in response to a request of switching to an autonomous driving mode, whether the vehicle is in a safe state; and controlling, in response to the vehicle being in the safe state, the vehicle to switch from a manual driving mode to the autonomous driving mode during travelling.

An automatic parking control unit comprises a recognizing section recognizing an outer world outside a vehicle, a vehicle operation control section performing an operation control on the vehicle, an automatic parking control section performing a parking operation to park the vehicle at a target parking position and a display control section synthesizing images taken by a camera group into an image of a surrounding area of the vehicle and displaying the image on an output device group. The display control section displays an image of the surrounding area of the vehicle and a vehicle body image of the vehicle with a portion of the vehicle made translucent, the portion of the vehicle making a blind area to a driver in the surrounding area of the vehicle and the portion of the vehicle is changed according to a direction in which the vehicle is running.

The invention relates to a method for propelling a vehicle comprising a first power source being an internal combustion engine and a second power source comprising at least one electrical machine. The vehicle is configured to be selectively driven according to a first mode and a second mode, wherein said second mode is prioritized more in relation to fuel efficiency of said vehicle than said first mode. When a maximum power for propelling said vehicle is requested, power delivered by said first power source and said second power source is controlled such that the total power delivered by said first and said second power source exceeds the maximum deliverable power of said first power source. The total power delivered by said first and said second power source is allowed to exceed the maximum deliverable power of said first power source when said vehicle is driven according to said second mode.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user’s temperature to a threshold temperature, and if the user’s temperature exceeds the threshold temperature, the AV performs checks to ensure that the user’s planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user’s home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

A system for controlling an autonomous vehicle includes a memory configured to store parameters of a g-g plot defining admissible space of values of longitudinal and lateral accelerations. The g-g plot parameters define a mapping between user driving preferences and constrained control of the autonomous vehicle. The g-g plot parameters include a maximum forward acceleration, a maximum backward acceleration, a maximum lateral acceleration and a shape parameter defining profile of curves connecting maximum values of forward, backward, and lateral accelerations. The system accepts a comfort level as a feedback from a passenger of the vehicle, determines a dominant parameter corresponding to the feedback, updates the dominant parameter of the g-g plot based on the comfort level indicated in the feedback, and controls the vehicle to maintain dynamics of the vehicle within the admissible space defined by the parameters of the updated g-g plot.

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.

Behavior information input unit receives stop-behavior information about vehicle from automatic-driving control device. Image-and-sound output unit outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle is to be excluded from a determination object in automatic-driving control device to notification device, when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit receives a response signal for excluding the collision possibility from the determination object. Command output unit outputs a command to exclude the collision possibility from the determination object to automatic-driving control device.

Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.