A system for guiding economic driving may include a vehicle generating driving information in accordance with driving. A vehicle management server is configured to receive and store vehicle information and driver information of the vehicle from the vehicle. A vehicle terminal configured to store the vehicle information and transmit the driving information. A business management server is configured to generate economic driving evaluation information according to a preset economic driving algorithm using the driving information.

A system and method for autonomous vehicle driving behavior modification include: receiving passenger driving behavior preferences for setting a driving behavior of an autonomous vehicle; generating driving behaviors controls based on the passenger driving behavior preferences; setting an initial driving behavior of the autonomous vehicle using the driving behavior controls, wherein setting the initial driving behavior comprises providing the driving behavior controls to be implemented by the autonomous vehicle during one or more routes involving the passenger; aggregating vehicle behavior feedback relating to a driving behavior of the autonomous vehicle during the one or more routes; and modifying the driving behavior of the autonomous vehicle based on the vehicle behavior feedback.

Historical vehicle telematics data, corresponding to trips known to have been driven by specific persons within a limited pool of potential drivers, may be processed to generate a statistical model that is customized for those persons. Once generated, the custom statistical model may be used to process vehicle telematics data from trips where it is known that the driver was one of the drivers in the pool of drivers, but the specific identify of the driver is not known. Because the statistical model is specifically optimized or designed to distinguish among the drivers in the pool, the model may be more accurate than universal driver identification models.

A method for detecting obstacles, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during executions of vehicle maneuvers that are suspected as being obstacle avoidance maneuvers; determining, based at least on the visual information, at least one visual obstacle identifier for visually identifying at least one obstacle; and transmitting to one or more of the plurality of vehicles, the at least one visual obstacle identifier.

A vehicle control apparatus, which controls an execution of an autonomous driving of a vehicle, is configured to: acquire a driving characteristic information item indicating a numerical value or a degree of a driving characteristic used in an autonomous driving of the vehicle; and set the driving characteristic to be used in the autonomous driving of the vehicle with the acquired driving characteristic information item. The driving characteristic to be used in the autonomous driving is set using the acquired driving characteristic information item to be different from a driving characteristic of a manual driving operation performed by a user of the vehicle.

Exemplary embodiments relate to a vehicle control system, an external electronic control unit, a vehicle control method, and an application, and more particularly, to a vehicle communication system installed in a vehicle and an external electronic control unit capable of performing vehicle control by transmitting, to the vehicle communication system, a vehicle control signal for controlling behavior of the vehicle on the basis of vehicle information received from the vehicle communication system. According to exemplary embodiments, it is possible to easily add or update a vehicle control function, to perform precise vehicle control, and also to perform autonomous traveling control with a user's terminal.

Provided is an information processing method of an information processing apparatus for remotely operating a vehicle via a communication network. The information processing method includes: obtaining vehicle information about the vehicle; obtaining a delay time of the communication network; calculating, based on the vehicle information and the delay time, a stop position at which the vehicle would stop if the vehicle were caused to perform an emergency stop; and outputting stop position information indicating the calculated stop position.

Disclosed are a method for controlling a vehicle and an intelligent computing apparatus for controlling a vehicle. The method for controlling a vehicle includes obtaining state information related to a driver in the vehicle, generating information related to concentration on the basis of the state information related to the driver, and outputting information related to drowsiness prevention on the basis of the information related to concentration, whereby it is possible to prevent driver's concentration from being decreased and it is possible to prevent occurrence of an accident due to carelessness such as decreased concentration of the driver during driving in advance by recognizing a state in which the driver's concentration is significantly decreased and providing information related to drowsiness prevention to increase concentration again. One or more of the vehicle, user terminal, and server of the present invention may be associated with an Artificial Intelligence Intelligenfce module, a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a device associated with a 5G service, or the like. Can be.

A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.

The present disclosure relates to a method for operating a motor vehicle, wherein a status information regarding the status of an occupant of the motor vehicle is determined, whereupon the motor vehicle is guided in a fully automated manner to a predetermined target position when one of the release conditions is fulfilled as a function of the status information, wherein, when the release condition is fulfilled, the motor vehicle is guided independently of at least one traffic rule, which restricts the driving operation of the motor vehicle in the event of non-compliance with the release condition, or dependently of a modified version of said traffic rule.