Toyota Jidosha Kabushiki Kaisha

Yohsuke Hashimoto

Akihiro Katayama

Naoya Oka

Kazuki Sugie

Yuta Oshiro

Masakazu Aoki

Satoshi Takamoto

Yuki Ogawa

Atsushi Nagai

Tatsunobu Murai

Takayuki Hamada

Makoto Katsuda

A vehicle control device includes: a processor configured to execute automated acceleration control for automatically controlling acceleration of a vehicle; and one or more sensors configured to detect an operation of a driver related to acceleration/deceleration of the vehicle. The processor is configured to detect, during a specific acceleration period in which a specific condition is satisfied and the vehicle is accelerated by the automated acceleration control, an acceleration change operation of the driver that intervenes to change a set acceleration set by the automated acceleration control. The specific condition indicates that a vehicle-to-vehicle distance or a vehicle-to-vehicle time between the vehicle and a preceding vehicle is equal to or greater than a threshold value or that there is no preceding vehicle. The processor is also configured to change the set acceleration for future acceleration based on a history of the detected acceleration change operation.

Vehicle control device

A control device for a vehicle controls a subject vehicle configured to switch between manual driving by a driver and automated driving. The control device includes a processor and a memory device. The processor is configured to execute learning control that learns vehicle-to-vehicle information being vehicle-to-vehicle time or vehicle-to-vehicle distance of the subject vehicle with respect to a preceding vehicle during traveling with the manual driving, and to reflect a learning result of the vehicle-to-vehicle information by the learning control in a control of the vehicle-to-vehicle information during the automated driving. The memory device is configured to store the vehicle-to-vehicle information as learning data during the manual driving. In the learning control, the processor determines, based on a type of the preceding vehicle, whether or not the vehicle-to-vehicle information for the preceding vehicle is caused to be stored in the memory device as the learning data.

Control device for vehicle

A control device for a vehicle controls a subject vehicle configured to switch between manual driving and automated driving. The control device includes a processor and a memory device. The processor is configured to execute learning control that learns vehicle-to-vehicle distance when the driver stops the subject vehicle during the manual driving, and to reflect a learning result of the vehicle-to-vehicle distance by the learning control in a control of the vehicle-to-vehicle distance during the automated driving. The memory device is configured to store the vehicle-to-vehicle distance as learning data during the manual driving. In the learning control, the processor is configured to determine, based on vehicle operation information by the driver during a series of periods from a pre-stop period to a post-stop period of the subject vehicle, whether or not the vehicle-to-vehicle distance is caused to be stored in the memory device as the learning data.

An automobile includes a traffic information acquisition device that acquires traveling vehicle information, and traffic information from a traffic information management center that manages traffic obstacle information on an obstacle on a road, a display device that displays surroundings map information of a subject vehicle together with a mark showing a current position of the subject vehicle, and a control device. The control device reflects a decorative image based on surroundings traffic obstacle information in the surroundings map information and displays the decorative image on the display device, and associates, with the decorative image, an involved vehicle number image on an involved vehicle number, and displays the involved vehicle number image on the display device. The involved vehicle number is the number of vehicles in the traveling vehicle information involved in the traffic information related to the decorative image.

Automobile

A vehicle control system includes a memory, a first processor mounted in a vehicle, and a second processor different from an in-vehicle device. The first processor and the second processor are configured to execute acquisition processing, operation processing, reward calculation processing, and update processing. The first processor is configured to execute at least the acquisition processing and the operation processing, and the second processor is configured to execute the update processing.

Vehicle control system, vehicle control device, and control method for a vehicle

A method of generating vehicle control data includes: storing, with a storage device, relationship prescription data; operating, with an execution device, an operable portion of an internal combustion engine; acquiring, with the execution device, a detection value from a sensor that detects the state of the vehicle; calculating, with the execution device, a reward; and updating, with the execution device, the relationship prescription data using update mapping determined in advance, the update mapping using the state of the vehicle based on the detection value, an operation amount used to operate the operable portion, and the reward corresponding to the operation as arguments, and returning the relationship prescription data which have been updated such that an expected profit for the reward calculated when the operable portion is operated in accordance with the relationship prescription data increases.

Method of generating vehicle control data, vehicle control device, and vehicle control system

Provided is a method of generating vehicle control data. The method is applied to a vehicle configured to select one of a plurality of traveling control modes and is executed by a processor in a state in which relationship definition data defining a relationship between a state of the vehicle and an action variable as a variable relating to an operation of electronic equipment in the vehicle is stored in a memory. The method includes operation processing for operating the electronic equipment, acquisition processing for acquiring a detection value of a sensor configured to detect the state of the vehicle, reward calculation processing for providing reward, and update processing for updating the relationship definition data.

A vehicle learning system includes a first execution device mounted on a vehicle, a second execution device outside the vehicle, and a storage device. The storage device stores mapping data including data, which is learned by machine learning and defines mapping that receives input data based on a detection value of an in-vehicle sensor and outputs an output value. The first execution device and the second execution device execute, in cooperation with each other, an acquisition process of acquiring input data, a calculation process of calculating an output value with the input data as an input of the mapping, and a relationship evaluation process of evaluating a relationship between a predetermined variable different from a variable corresponding to the output value and accuracy of the output value. The first execution device executes at least the acquisition process, and the second execution device executes at least the relationship evaluation process.

Vehicle learning system, vehicle control device, and vehicle learning device

A method of generating vehicle control data is provided. The method is executed using a processor and a storage device and includes: storing first data that prescribe a relationship between a state of a vehicle and an action variable that indicates an action related to an operation of an electronic device; acquiring a detection value from a sensor that detects the state of the vehicle; operating the electronic device; calculating a reward, on the basis of the acquired detection value; in a case where a predetermined condition is met, updating the first data using, as inputs to update mapping determined in advance, the state of the vehicle, a value of the action variable, and the reward; and in a case where the state of the vehicle does not meet the predetermined condition, obtaining second data by adapting the relationship between the state of the vehicle and the action variable.

A vehicle control device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor, operation processing of operating the electronic equipment, reward calculation processing, update processing of updating the relationship definition data, detection processing, and switching processing of switching the relationship definition data to post-treatment data. The processor is configured to, based on the update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

Vehicle control device, vehicle control system, and method for controlling vehicle

An internal combustion engine condition determination apparatus includes a storage device; and an execution device. The storage device stores mapping data that defines a mapping. The execution device is configured to execute an acquisition process of acquiring an internal combustion engine state variable every time a crankshaft of an internal combustion engine rotates by a predetermined angle, and a determination process of determining a condition of the internal combustion engine based on an output obtained through the mapping using the internal combustion engine state variable as an input. The mapping data is trained by machine learning. The execution device is configured to prohibit the determination process when a rotation speed of the crankshaft is equal to or higher than a predetermined threshold.

Internal combustion engine condition determination apparatus, internal combustion engine condition determination system, data analyzing apparatus, and internal combustion engine control apparatus

A vehicle control device includes a storage device that stores mapping data including data that defines mapping that receives input data based on a plurality of detection values which are detection values of an in-vehicle sensor and which are before or after in time series and outputs a predetermined output value and that is learned by machine learning and an execution device that executes an acquisition process of acquiring the input data from the storage device, a calculation process of calculating the predetermined output value with the input data as an input of the mapping, and a transmission process of transmitting the detection values used when the input data is generated and time series data including data based on one or a plurality of detection values which are before or after the detection value used for the input data in time series to an outside of the vehicle.

Vehicle learning control system, vehicle control device, and vehicle learning device

A vehicle control device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor and driving preference information, operation processing of operating the electronic equipment, reward calculation processing of providing a greater reward when a characteristic of the vehicle satisfies a criterion than when the characteristic of the vehicle does not satisfy the criterion, and update processing of updating the relationship definition data. The processor is configured to, based on update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

A vehicle control device includes a storage device and a processor. The storage device is configured to store relationship prescription data that prescribe a relationship between a state of a vehicle and an action variable that is a variable related to an operation of an electronic device in the vehicle. The processor is configured to calculate a reward corresponding to the operation of the electronic device. The processor is configured to update the relationship prescription data using, as inputs to updated mapping determined in advance, the state of the vehicle that is based on a detection value that is acquired, a value of the action variable that is used to operate the electronic device, and the reward corresponding to the operation of the electronic device when a computation load on the processor is equal to or less than a predetermined load.

Vehicle control device, vehicle control system, and vehicle control method

A CPU calculates probability models by inputting input variables to a neural network. Next, the CPU determines whether a maximum value among the calculated probability models is larger than an upper limit value of a permissible range. When the maximum value is larger than the upper limit value of the permissible range, the CPU calculates a difference between the maximum value and a first reference value within the permissible range, and subtracts the difference from all the probability models. Then, the CPU calculates a probability of misfire in each cylinder by inputting each of the calculated probability models to a softmax function of mapping.

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Nagakute, Japan

Yohsuke Hashimoto