Toyota Jidosha Kabushiki Kaisha

Masahiro Mori

Kenji Senda

Daisuke Kobayashi

Akinori Kitazume

Takahiro Fujita

Kazuhiro Wakao

Takeshi Sano

Hiroshi Yamamoto

Jun Kokaji

Tohru Takamura

Yamamoto Hiroshi

An image processing apparatus includes: a storage unit that stores a plurality of frames; and a processing unit that selects at least one selection frame from the plurality of frames and that outputs an extraction image extracted from the selected selection frame, wherein the processing unit outputs, as the extraction image, the image of the initial trimming range, and the evaluation value of the image of each trimming range is set based on at least one evaluation item of the following evaluation items: a positional relationship of a target object in the image of the trimming range, a size of the target object in the image of the trimming range, a vividness of the target object in the image of the trimming range, a brightness of the image of the trimming range, and a degree of cutoff of the target object in the image of the trimming range.

Image processing apparatus

A vehicle imaging system includes: a first camera configured to capture an image of a vehicle; a second camera that is movable and that is configured to capture a video of the vehicle while the vehicle is traveling; and a controller configured to control the first and second cameras. The controller is configured to extract a feature of the vehicle from image data captured by the first camera, and control at least one of a position of the second camera, orientation of the second camera, and a speed of the second camera based on the feature.

Vehicle imaging system and vehicle imaging method

There is provided a vehicle notification sound generation system mounted on a self-driving capable electric bus, and the system has a speaker that outputs a verbal speech about arrival of the electric bus at a destination and outputs a non-verbal sound corresponding to a state of acceleration/deceleration of the electric bus before acceleration/deceleration operation or during acceleration/deceleration of the electric bus.

Vehicle notification sound generation system

An ignition timing control device includes a storage device that stores a normal signal generation model configured to output, upon receiving an output value of a knocking sensor, a noise-removed output value therefrom which an unlearned noise component value has been removed, and a first learned neural network pre-learned to output, upon receiving one of the output value of the knocking sensor and the noise-removed output value, an estimated value of a knocking intensity representative value, and a processor that acquires the estimated value by inputting the output value of the knocking sensor to the normal signal generation model and inputting the noise-removed output value to the first learned neural network, and executes retarding control of an ignition timing based on the acquired estimated value.

Ignition timing control device for internal combustion engine

An ignition timing control device for an internal combustion engine includes a storage device and a processor. The storage device stores a first learned neural network and a second learned neural network. The processor is configured to perform, in a next cycle where ignition timing is delayed, control to delay the ignition timing in a cycle after the next cycle based on a difference between a predictive value of an estimate of a value representing knocking intensity calculated with use of the second learned neural network and the estimate of the value representing the knocking intensity calculated with use of the first learned neural network. When the difference is larger than a predetermined set value, the processor is configured not to perform the control to delay the ignition timing in the cycle after the next cycle.

An ignition timing control device includes bandpass filters each configured to pass and output only a specific frequency band for the output value of a knocking sensor, a storage device storing first learned neural networks configured to receive the output values of the bandpass filters in respective frequency band, and a processor. Each of the first learned neural networks is pre-learned to output an estimated value for a value representing knocking intensity when receiving the filtered output value of the bandpass filter. The processor calculates an optimal estimated value using a part of acquired estimated values for the value excluding a unique estimated value, and executes retarding control of an ignition timing based on the calculated optimal estimated value.

Disclosed is an intake air volume measuring device for an internal combustion engine. The device includes an air flow meter located in an intake air path of the internal combustion engine, to measure the volume of intake air into the combustion chamber of the internal combustion engine based on an output signal of the air flow meter. The output signal of the air flow meter (AFM signal) is sampled in synchronism with the crank angle of the internal combustion engine. With this angle-synchronous processing, the device is capable of obtaining AFM data at equal intervals within a cycle of intake air pulsation, thereby eliminating adverse effects of the intake air pulsation. The device is hence capable of reducing variations in AFM data averages and calculating average flow rates of the intake air with high precision.

Growing community of inventors

Nisshin, Japan

Masahiro Mori