A vehicle control and interconnection system comprises a vehicle interconnection component and a supervisory controller. The vehicle interconnection component communicably couples to a portable electronic processing device and to native electronic peripherals of a corresponding vehicle, including a display. The supervisory controller provides control information to at least one native electronic peripheral to implement a customized vehicle configuration such that a corresponding peripheral or group of peripherals respond to control commands from the vehicle interconnection component in a coordinated manner. Also, the portable electronic processing device is programmed via a software download to implement a user interface that interacts with the display of the corresponding vehicle to provide information to the vehicle operator where at least part of the processing is carried out on the portable electronic processing device. Yet further, software modifications are wirelessly received via a transceiver and are processed through the vehicle interconnection component.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A method for assisting in the driving of a vehicle on a fast road with carriageways separated by a safety rail in which the presence of the safety rail is detected is disclosed. The safety rail is modelled from measurements performed continuously by at least one laser scanner sensor mounted on the motor vehicle, with the determination of a confidence index associated with the detection by the laser scanner sensor, an automatic driving mode is activated when the confidence index I.sub.CONF is above a confidence threshold. This mode is maintained as long as a current confidence index associated with the detection is above the confidence threshold, and this mode is deactivated when the current confidence index passes below said confidence threshold. The density of traffic in front of the motor vehicle is estimated from images captured by an embedded camera.

Provided is a vehicle control method that performs basic self-driving control configured to automatically control the travel of a host vehicle based on an intervehicle distance between the host vehicle and a preceding vehicle. When a traffic jam on a travel lane of the host vehicle is detected, low torque travel control configured to cause the host vehicle to travel by a drive torque lower than a drive torque determined based on the basic self-driving control is performed, and when the intervehicle distance exceeds, in the low torque travel control, a predetermined upper limit distance larger than a set during-vehicle-stop intervehicle distance serving as a reference for the start or the stop of the host vehicle in the basic self-driving control, the low torque travel control is switched to the basic self-driving control.

A vehicle speed/headway control function and a lane-keeping function are provided as driving assist functions to assist in a driving operation by a driver. A mode-switching controller is provided for switching between the modes. In the lane-keeping assist mode, it is assessed whether or not a traveling condition has been met that an actual vehicle speed of the host vehicle exceeds a speed limit of a roadway on which the host vehicle is traveling during lane-keeping travel in which “hands-off mode,” which allows the driver to remove their hands from the steering wheel, has been selected. The mode is switched from “hands-off mode” to “hands-on mode,” which has as a condition that the driver has their hands on the steering wheel, upon assessing that the traveling condition that the actual vehicle speed exceeds the speed limit has been met.

In an information processing device, a first acquisition portion acquires a usage end time and a usage end point of an automatic driving vehicle. A second acquisition portion acquires information about a side trip point of the automatic driving vehicle. A derivation portion derives an expected time of arrival of the automatic driving vehicle at the usage end point by way of the side trip point. A permission portion permits a drop-in at the side trip point when the expected time of arrival at the usage end point is before the usage end time.

A control apparatus for a vehicle includes a memory and a controller. The memory has a first storage area, which is a write restricted area storing one or more first control patterns out of a plurality of control patterns for the vehicle, and a second storage area, which is a write enabled area storing one or more second control patterns out of the plurality of control patterns for the vehicle. The controller determines whether a control condition for each of the plurality of control patterns is satisfied based on a state of the vehicle, to select one or more control patterns for each of which the control condition is satisfied, and to control the vehicle according to the selected one or more control patterns.

A method and system for adjusting vehicle operations. Wheel sensors are disposed to detect parameters associated with treads of wheels and parameters associated with road conditions. An electronic control unit receives information from the wheel sensors. The electronic control unit determines a performance metric of the wheels based on the parameters associated with treads. The electronic control unit receives determine adjustments for operation of the vehicle based on the performance metric and the parameters associated with road conditions.

A personalized driving mode control device is provided. The device includes a controller configured to determine a driver based on identification information of the driver, a memory configured to store driving style information for the driver, and a personalized driving mode controller configured to control a drive mode for the driver depending on the driving style information for the driver, the drive mode configured to be controlled by receiving the driving style information of the driver from an external device when the driving style information is not stored in the memory, wherein the personalized driving mode controller is configured to correct the driving style information depending on a change in vehicle class and control the drive mode based on the corrected driving style information.