A vehicle control device stores learning data to correct a parameter used in a control program for controlling a vehicle, determines whether or not a part controlled by the parameter has been replaced; and resets the learning data when determining that the part has been replaced. The vehicle control device determines whether or not the part has been replaced by identifying individuality of the part based on characteristics of a sensor output from a sensor provided in the part.

An information estimating system includes an acquisition unit configured to acquire an operation item for vehicle-mounted equipment mounted on a vehicle and a vehicle environment state, which is at least one of a vehicle status and a traveling state of the vehicle when the operation item is operated for each of a plurality of drivers, a learning unit configured to learn the operation item and the vehicle environment state of each of the plurality of drivers acquired by the acquisition unit in association with each other, and an estimator configured to estimate the operation item for the vehicle environment state at a predetermined time point of a specific driver based on the learned result learned by the learning unit.

Disclosed are methods and a system for customizing operation of a self-driving motor vehicle according to operation behaviors preferred by an individual passenger wherever needed, promising to provide an experience as if the self-driving motor vehicle is driven by the mind of the passenger the first time it operates on a public roadway.

Disclosed are methods and a system for customizing operation of a self-driving motor vehicle according to operation behaviors preferred by an individual passenger wherever needed, promising to provide an experience as if the self-driving motor vehicle is driven by the mind of the passenger the first time it operates on a public roadway.

The present teaching relates to method, system, medium, and implementation of human-like vehicle control for an autonomous vehicle. Information related to a target motion to be achieved by the autonomous vehicle is received, wherein the information includes a current vehicle state of the autonomous vehicle. A first vehicle control signal is generated with respect to the target motion and the given vehicle state in accordance with a vehicle kinematic model. A second vehicle control signal is generated in accordance with a human-like vehicle control model, with respect to the target motion, the given vehicle state, and the first vehicle control signal, wherein the second vehicle control signal modifies the first vehicle control signal to achieve human-like vehicle control behavior.

In one embodiment, when planning a path for a current driving cycle for an autonomous driving vehicle (ADV), a current location of the ADV is determined based on sensor data provided by a variety of sensors mounted on the ADV. A path is generated for the current driving cycle to drive the ADV from the current location for a predetermined period of time. An expected location of the ADV calculated based on a previous path, which was generated during a previous driving cycle. A drifting error is then calculated based on the expected location and the current location of the ADV. At least a starting point of the path for the current driving cycle is modified based on the drifting error, generating a modified path. The ADV is then controlled according to the modified path.

A controller and a control method for a vehicle including an engine with a supercharger and an automatic transmission provided in a power transmission path between the engine and driving wheels are provided. The controller is configured to perform learning control of learning a command value associated with gear shifting of the automatic transmission. The controller is configured to limit a supercharging pressure of the supercharger when the automatic transmission is performing gear shifting to be equal to or less than a predetermined pressure until initial learning which is performed by the learning control unit in a predetermined period after the vehicle has been manufactured is completed.

An application installation device, which is connected to a plurality of electronic control units, receives (i) a first application to be installed and (ii) application usage information indicating a second application used by the first application, while storing existing application information indicating an existing application installed in each of the plurality of electronic control units. In response to determining that the second application is included as the existing application based on the existing application information, a determined electronic control unit in which the first application and the second application are enabled to be installed is determined as an installation destination of the first application among the plurality of electronic control units. The first application is transmitted to the determined electronic control unit.

Methods are introduced for customizing and legalizing a self-driving motor vehicle by personalizing and/or disciplining before and during a self-driving motor vehicle is practically used, with human knowledge, preferences and experiences, to provide a more personal service and overcome some hurdles in legalization of self-driving motor vehicles, serving as a bridge in the transition from a human driving world to a personized autonomous freeway.

Disclosed are methods and a system for customizing operation of a self-driving motor vehicle according to operation behaviors preferred by an individual passenger wherever needed, promising to provide an experience as if the self-driving motor vehicle is driven by the mind of the passenger the first time it operates on a public roadway.