A device for determining amass of a vehicle includes vehicle height sensors respectively mounted on left front and rear wheels or respectively mounted on right front and rear wheels to sense a vehicle height of the vehicle, a passenger detecting sensor for sensing the number of passengers boarded the vehicle and boarded locations of the passengers, and a controller that calculates a load based on the vehicle height, calculates a load conversion factor based on each offset set based on a boarded location of each passenger and the number of passengers, and calculates a mass change amount based on the load and the load conversion factor. The device may determine an accurate mass of the vehicle when the vehicle height sensors are not mounted on all four wheels, improve a performance of the vehicle by reflecting the determined mass to vehicle control, and reduce tuning parameters for vehicle control.

A vehicle control device, a vehicle control method, and a vehicle suitable for an automatic/manual driving mode vehicle that employs brakes capable of controlling braking forces of four wheels. A vehicle control device including a pitch angle adjustment unit that adjusts a pitch angle, which is an inclination of a vehicle generated in the vehicle when braking the vehicle, or a change amount of the pitch angle, the pitch angle adjustment unit adjusting the pitch angle according to a traveling mode of the vehicle instructed by a host controller provided in the vehicle.

A parking assistance device is configured to assist parking of a vehicle. The parking assistance device includes: a communication interface; a processor; and a memory. The memory stores instructions that, when executed by the processor, cause the parking assistance device to perform operations. The operations include: obtaining an image of a parking frame through the communication interface, the image being captured by the image capturing device provided in the vehicle; and determining, based on a number of one or more occupants in the vehicle, a correction value of a position of each of at least one end point of the parking frame detected from the image.

An object of the present invention is to realize lane deviation warning/control at an intersection, on a multilane road and in an environment where no lane dividing lines are present and GNSS accuracy is low. A driving assistance device includes a recording unit that records a plurality of past traveling positions of a vehicle and position estimation information relating to the past traveling positions, a relative position estimation unit that estimates a relative position of the vehicle from an output of a sensor that detects a surrounding of the vehicle, adds a history of the relative position to the past traveling position, and adds the output of the sensor, which is used to estimate the relative position, to the position estimation information, a position estimation unit that estimates a position of the vehicle with respect to the past traveling positions from the output of the sensor and the position estimation information of the recording unit, and adds a history of the estimated position to the past traveling position, a deviation determination unit that determines deviation from the plurality of past traveling positions by using a distribution of the plurality of past traveling positions, the position of the vehicle with respect to the plurality of past traveling positions, and a predetermined reference value, and a control unit that controls the vehicle to cancel a warning or deviation, when the deviation is determined.

The present disclosure provides an autonomous driving vehicle detection method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: acquiring passengers' ride information on an autonomous driving vehicle; determining a vehicle component change state of the autonomous driving vehicle according to the ride information of the autonomous driving vehicle; wherein the vehicle component change state includes a door change state of the autonomous driving vehicle and a seat belt change state of the autonomous driving vehicle; and determining a seat load of the autonomous driving vehicle according to the vehicle component change state of the autonomous driving vehicle.

Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

An information-processing device includes a first controller configured to determine the number of users using a vehicle that enters or leaves a parking lot or a weight of the vehicle and a second controller configured to determine a position where the vehicle is stopped within a predetermined area of the parking lot on the basis of the number of users or the weight determined by the first controller.

According to the present invention, a system for detecting an occupant left unattended in a vehicle, including a first detection unit that detects a situation in which a vehicle is stopped or parked; a carbon dioxide measurement unit that measures carbon dioxide concentration inside the vehicle; and a determination unit that detects the first detection unit's detection of the situation in which the vehicle is stopped or parked, and determines whether or not an occupant is left unattended in the vehicle based on the carbon dioxide concentration measured by the carbon dioxide measurement unit is disclosed.

A vehicle is configured to transport a passenger through autonomous travel. The vehicle includes an in-vehicle camera configured to image the passenger to generate an image, a camera controller configured to control the in-vehicle camera, and a passenger information detection unit configured to detect information about the passenger. The passenger information detection unit measures the number of passengers and the camera controller stops an operation of the in-vehicle camera in a case where the number of passengers is one.

A vehicle includes: an instrument panel that displays an alarm to a driver; and an ECU that controls the instrument panel based on a setting as to whether the driver is to perform maintenance of the vehicle or not. In a first setting in which the driver is to perform maintenance, the ECU controls the instrument panel to display an alarm when a failure occurs in an on-vehicle device. In a second setting in which the driver is not to perform maintenance, the ECU controls the instrument panel not to display an alarm about a failure less influencing traveling.