Abstract:
An in-vehicle running-environment recognition apparatus including an input unit for inputting an image signal from in-vehicle imaging devices for photographing external environment of a vehicle, an image processing unit for detecting a first image area by processing the image signal, the first image area having a factor which prevents recognition of the external environment, an image determination unit for determining a second image area based on at least any one of size of the first image area, position thereof, and set-up positions of the in-vehicle imaging devices having the first image area, an environment recognition processing being performed in the second image area, the first image area being detected by the image processing unit, and an environment recognition unit for recognizing the external environment of the vehicle based on the second image area.
Abstract:
In stereo matching based on standard area matching, in order to suppress a decrease in matching accuracy, it is effective to adaptively change a matching area in accordance with the local properties of an image. However, this requires high calculation costs. Thus, the present invention provides a stereo image processing apparatus including an image pickup unit 101 configured to take a plurality of image data using a plurality of cameras, an image memory 102 configured to store the plurality of image data taken by the image pickup unit 101, a calculated disparity storage unit 105 configured to store disparity data determined based on the plurality of image data, a matching area control unit 103 configured to set a matching area for each pixel based on the plurality of data read from the image memory 102 and the disparity data read from the calculated disparity storage unit 105, and a disparity calculating unit 104 configured to perform matching on the image data based on the plurality of image data read from the image memory 102 and the matching area for each pixel set by the matching area control unit 103 to calculate disparity data.
Abstract:
Disclosed is a road-shoulder detecting device including a distance-information calculating portion for calculating the presence of a physical object and the distance from the subject vehicle to the object from input three-dimensional image information relating to an environment around the vehicle, a vehicular road surface detecting portion for detecting a vehicular road surface with the subject vehicle from a distance image, a height difference calculating portion for measuring height difference between the detected vehicular road and an off-road region, and a road shoulder decision portion for deciding height difference as to whether the road shoulder is boundary between the surface and the region in a case where there is an off-road region lower than the vehicular road surface.
Abstract:
Image information apparatuses, methods, and programs acquire image information of a plurality of frames of images sensed at predetermined regular time intervals. The apparatuses, methods, and programs detect a leading and trailing end of a lane mark included in a detection area defined in each frame of the image information. The apparatuses, methods, and programs detect a detected distance from one of the leading and trailing end of the lane mark to the other one as a detected distance based on the speed of the vehicle and the number of frames between a frame in which one of the leading end and the trailing end of the lane mark is detected and a frame in which the other one of the leading end and the trailing end of the lane mark is detected and determine a lane mark type of the lane mark on the basis of the detected distance.
Abstract:
An obstacle detection apparatus more accurately detects a moving obstacle present around a motor vehicle. With this system, desired feature quantities of an obstacle present in a coverage of a first sensor are calculated and then stored into a storage device, and when the obstacle moves from the coverage of the first sensor to a coverage of a second sensor, a relative distance to the obstacle is calculated from the above-stored feature quantities of the obstacle and from the desired feature quantities of the obstacle, obtained by analyzing the recognition results of the second sensor that have been processed by a processor which processes the recognition results.
Abstract:
An amplifier circuit including an input stage and an output stage which are cascade-connected between a signal input terminal to which an input signal is input and a signal output terminal to which a capacitive load is connected, and which includes at least an input amplification stage and an output amplification stage, and a resistor circuit including at least a resistor inserted between the output terminal of the output amplification stage and the signal output terminal.
Abstract:
A signal processing apparatus includes a switching unit for switching one input signal to be processed and outputting the switched signal. Signal processing units have the same structure, and each of the signal processing units comprises a plurality of signal processors for subjecting an input signal to be processed to predetermined signal processing. Each signal processor has an inherent signal processing error. A control unit controls a switching operation of the switching unit so that the switched signal output from the switching unit is input to an arbitrary combination of the signal processors. A synthesizing unit synthesizes outputs from the arbitrary combination of signal processors and produces one output signal in which the inherent signal processing error of each signal processor has been averaged.
Abstract:
A neural network apparatus includes a neural network including at least two neuron layers each having a plurality of neurons and at least one synapse layer having a plurality of synapses each arranged between the neuron layers, each synapse storing a weight value between the neurons and multiplying the weight value with an output value from each of the neurons in the previous-stage neuron layer to output a product to the next-stage neuron layer, a section for causing an error signal between an output from the neural network and a desired output to back-propagate from an output-side neuron layer to an input-side neuron layer of the neural network, a learning control section for updating the weight value in the synapse on the basis of the error signal and the output value from the previous-stage neuron, and a selecting section for selecting a synapse whose weight value is to be updated by the learning control section when the learning control section is to update the weight values of a predetermined number of synapses in a predetermined order.
Abstract:
A liquid adhesive comprising a dispersion of the following component (b) in a solution of the following component (a) in an organic solvent:(a) a piperazinylethylaminocarbonyl-containing butadiene-acrylonitrile copolymer(b) a maleimide compound having at least two maleimide groups.An insulating pattern or insulating layer is formed by applying the liquid adhesive onto an electronic part by a dispensing or screen printing method, followed by thermally curing.
Abstract:
There is provided an image processing apparatus that can implement image recognition processing on all of objects to be recognized, and can reduce a load of capturing and transferring images. The image processing apparatus includes: an image capturing unit that captures image information picked up by an imaging element; a processing region setting unit that sets a plurality of processing regions for the image information; a processing sequence/frequency determination unit that determines at least any one of a sequence, a frequency, and a timing of capturing the respective image information in a plurality of set processing regions, and at least any one of a sequence, a frequency, and a timing of processing the respective image information; and an image processing unit that captures the image information for each of the processing regions according to the sequence, the frequency, or the timing which has been determined, and processes the captured image information according to the sequence, the frequency, or the timing which has been determined.