Abstract: A processor in an object detection device is configured to: acquire settings data for one or more radar grids, each radar grid being set for a measurement area of a corresponding radar and consisting of radar cells; acquire settings data for a processing grid for clustering operations, the processing grid being set for the one or more measurement areas and consisting of processing cells; calculate, for each processing cell, one or more likelihoods associated with measurements of one or more related radar cells based on distances between the processing cell and the one or more related radar cells; calculate a grid value of each of the processing cells in the processing grid based on the one or more likelihoods; and perform a clustering operation on each processing cell based on distances between and/or grid values of the processing cell and one or more different processing cells.

Abstract: The traffic monitoring system is provided with: a camera which captures an image of a monitoring area including a road and generates image data; a millimeter-wave radar which scans a scanning area included in the monitoring area and generates millimeter-wave data; and an information processing server which is connected to the camera and the millimeter-wave radar and acquires the image data and the millimeter-wave data. The information processing server is provided with: a data synchronization unit which synchronizes the image data with the millimeter-wave data so that the difference between a timing at which the image data is generated and a timing at which the millimeter-wave data is generated is equal to or smaller than a certain value; and a screen generation unit which associates the image data and the millimeter wave, which have been synchronized, with each other and generates a monitoring screen that indicates the road conditions.

Abstract: This wireless communication device comprises: a sensing unit that detects the position and size of each moving object including a mobile terminal; a route prediction unit that predicts a movement route of each moving object on the basis of the position of each moving object; a communication quality prediction unit that predicts a communication quality distribution of a communication area on the basis of the predicted movement route of each moving object and the size of each moving object; and a determination unit that acquires the predicted communication quality for the predicted movement route of the mobile terminal on the basis of the communication quality distribution, and determines a communication startup timing for the mobile terminal on the basis of the predicted communication quality.

Abstract: The present invention relates to a communication system which can effectively avoid congestion in ITS communications at a street intersection to properly assist the driving of autonomous vehicles. An information source roadside apparatus 3 acquires terminal movement information on movement directions of nearby pedestrian terminals, and transmits the information to an information destination roadside apparatus, which determines, based on the received information, if there is predicted congestion in the terminal-to-terminal communications at a predetermined future time. When determining that there is predicted congestion, the information destination roadside apparatus transmits an instruction for a congestion avoidance operation to the pedestrian terminals 1.

Abstract: This surveillance system is provided with: a radar device which generates information indicating the reflection positions of radiated radio waves; and a surveillance device which, on the basis of the information indicating the reflection positions, detects a moving body in a radiation range of the radio waves, and determines whether an occlusion region, which is a region in the radiation range that cannot be reached by the radio waves, has arisen, and which generates surveillance information including information indicating the result of the moving body detection, and information indicating whether an occlusion region has arisen.

Abstract: A monitoring device is provided and includes a reception unit that receives information indicating a reflection position of radio waves emitted by a radar device; and a control unit that estimates, on the basis of a reflection position when a moving body exists in an irradiation range of the radio waves and a reflection position when the moving body does not exist in the irradiation range, the position of the moving body in the irradiation range and the occurrence of an occlusion area that is an area where the radio waves cannot reach the irradiation range, and performs displaying such that the position of the moving body in the irradiation range and the occlusion area are superimposed on a screen.

Abstract: Provided is a system which can reduce load on a travel controller that performs a danger avoidance operation by preliminarily detecting a significant event without increasing an amount of ITS communications, thereby providing suitable assistance for travel control of autonomous vehicles. When a vehicle 1 passes through a certain section of a road after an in-vehicle terminal 4 has detected a significant event while the vehicle 1 is traveling in the section, the in-vehicle terminal 4 transmits event data (images and other information related to the event) to a roadside apparatus 6 at an end point of the section. The roadside apparatus 6 transmits the event data to another roadside apparatus 6 at a start point of the section, which in turn transmits the event data to an in-vehicle device in another vehicle entering the section so that the device can perform travel control based on the event data.

Abstract: An object determination method involves acquiring radar data including information records of a radar reflection intensity and a velocity for each orientation and each distance; generating a radar detection image in which each pixel has a plurality of channels for containing data records of a radar reflection intensity, a velocity, and a distance, respectively, the data records corresponding to the position of the pixel; and by using a machine learning model for image recognition trained for object determination, acquiring an object determination result determined based on the radar detection image. In particular, the method includes, based on position data of an object area detected from the radar data of an entire observation area, extracting radar data of the object area from the radar data of the entire observation area; and generating the radar detection image of the object area based on the radar data of the object area.

Abstract: A processor in an object detection device is configured to: acquire settings data for one or more radar grids, each radar grid being set for a measurement area of a corresponding radar and consisting of radar cells; acquire settings data for a processing grid for clustering operations, the processing grid being set for the one or more measurement areas and consisting of processing cells; calculate, for each processing cell, one or more likelihoods associated with measurements of one or more related radar cells based on distances between the processing cell and the one or more related radar cells; calculate a grid value of each of the processing cells in the processing grid based on the one or more likelihoods; and perform a clustering operation on each processing cell based on distances between and/or grid values of the processing cell and one or more different processing cells.

Abstract: The traffic monitoring system is provided with: a camera which captures an image of a monitoring area including a road and generates image data; a millimeter-wave radar which scans a scanning area included in the monitoring area and generates millimeter-wave data; and an information processing server which is connected to the camera and the millimeter-wave radar and acquires the image data and the millimeter-wave data. The information processing server is provided with: a data synchronization unit which synchronizes the image data with the millimeter-wave data so that the difference between a timing at which the image data is generated and a timing at which the millimeter-wave data is generated is equal to or smaller than a certain value; and a screen generation unit which associates the image data and the millimeter wave, which have been synchronized, with each other and generates a monitoring screen that indicates the road conditions.

Abstract: Provided are an intrusion detection system and an intrusion detection method. The intrusion detection system includes: a camera which photographs a surveillance area and generates image data; a millimeter-wave radar which scans a scanning area contained within the surveillance area and generates millimeter-wave data; and an information processing server which is connected to the camera and the millimeter-wave radar, and acquires image data and millimeter-wave data. The information processing server is equipped with: a data synchronization unit which synchronizes the image data and millimeter-wave data; a determination unit which determines whether an object has intruded into a detection area contained within the scanning area, on the basis of millimeter-wave data; and a screen generation unit which associates the synchronized image data and millimeter-wave data and generates a surveillance screen which indicates the determination results generated by the determination unit.

Abstract: An object detection device includes a sub-cluster generating circuitry which, in operation, divides a cluster generated by a cluster generator into one or more first sub-clusters each corresponding to a part of an object having a different traveling direction or traveling speed from a main part of the object and a second sub-cluster corresponding to the main part of the object; and a speed calculating circuitry which, in operation, uses one or more capture points belonging to the second sub-cluster and calculates a traveling speed of the object.

Abstract: An object detection device includes first information generation circuitry second information generation circuitry, region calculation circuitry, measured value interpolation circuitry, and object determination circuitry. The measured value interpolation circuitry which, in operation, calculates a first interpolated measured value of the first target object region using the second measured value of the second target object region or calculates a second interpolated measured value of the second target object region using the first measured value of the first target object region. The object determination circuitry which, in operation, determines the target object using a combination of the first measured value and the first interpolated measured value or a combination of the second measured value and the second interpolated measured value.

Abstract: An object detection device includes a sub-cluster generating circuitry which, in operation, divides a cluster generated by a cluster generator into one or more first sub-clusters each corresponding to a part of an object having a different traveling direction or traveling speed from a main part of the object and a second sub-cluster corresponding to the main part of the object; and a speed calculating circuitry which, in operation, uses one or more capture points belonging to the second sub-cluster and calculates a traveling speed of the object.

Abstract: An object detection device includes first information generation circuitry second information generation circuitry, region calculation circuitry, measured value interpolation circuitry, and object determination circuitry. The measured value interpolation circuitry which, in operation, calculates a first interpolated measured value of the first target object region using the second measured value of the second target object region or calculates a second interpolated measured value of the second target object region using the first measured value of the first target object region. The object determination circuitry which, in operation, determines the target object using a combination of the first measured value and the first interpolated measured value or a combination of the second measured value and the second interpolated measured value.

Abstract: Provided is a device for detecting intruding objects that enables the detection of intruding objects without requiring antenna switching. Delay units (102) use different delay amounts to delay signals received at each of a plurality of antennas (110). A signal synthesis unit (103) synthesizes the delayed signals. A frequency conversion unit (106) converts the synthesized signal frequency to a baseband. A wave detection unit (107) detects the signal that has undergone frequency conversion. A radar profile generation unit (104) uses the detected signal to generate a profile formed from the distance from the antenna, and the signal strength at each distance from the antenna. A detection processing unit (105) detects a peak in the profile at which the signal strength exceeds a preset threshold value, and determines whether an intruding object is present in a detection region on the basis of the detected peak.

Abstract: Disclosed is an object detection device capable of improving object detection accuracy by preventing erroneous combination detection. In this device, a detection object region correction unit (103) corrects a detection object region set by a detection object region set unit (102) on the basis of moving speed map information associated with a coordinate group in a reference image plane and the detected moving speed on each coordinate, which is detected by a radar. Thus, the detection object region can be amended by the use of the moving speed map information even when the detection object region is obtained as a result of erroneous combination. As a result, the object detection accuracy can be improved.

Abstract: Provided is a positioning information forming device which improves object detection accuracy. This device comprises a synthesis unit (103) which synthesizes camera distance map information and radar distance map information and generates “synthesized map information”. This synthesized map information is used for object detection processing by a detection device (200). In this way it is possible to improve object detection accuracy by being able to detect objects based on information in which the camera distance map information and radar distance map information have been synthesized. In other words, by synthesizing the camera distance map information and radar distance map information, it is possible to remove unnecessary noise due to reflection from the ground and walls, etc. and therefore set object detection thresholds to low values. It is therefore possible to detect even objects the detection of which was judged to be impossible in the past.

Abstract: An installation error estimating device has a predicted pattern acquirer which obtains a predicted positioning distribution pattern, which is obtained by computing a characteristic pattern of a predicted positioning distribution obtained by predicting a logical positioning distribution, at each observation point where a wireless tag is installed for positioning; and an observation data inputter to which positioning results obtained from the wireless tags by a tag reader are input as observation data. A dispersion pattern analyzer computes a characteristic pattern of a measured positioning distribution, which is obtained by statistical analysis of the applicable positioning result, as a measured positioning distribution pattern at each observation point based on the observation. An installation error estimator computes the installation error for the tag reader using the predicted positioning distribution patterns obtained and the measured positioning distribution patterns computed.

Abstract: Provided is a device for detecting intruding objects that enables the detection of intruding objects without requiring antenna switching. Delay units (102) use different delay amounts to delay signals received at each of a plurality of antennas (110). A signal synthesis unit (103) synthesizes the delayed signals. A frequency conversion unit (106) converts the synthesized signal frequency to a baseband. A wave detection unit (107) detects the signal that has undergone frequency conversion. A radar profile generation unit (104) uses the detected signal to generate a profile formed from the distance from the antenna, and the signal strength at each distance from the antenna. A detection processing unit (105) detects a peak in the profile at which the signal strength exceeds a preset threshold value, and determines whether an intruding object is present in a detection region on the basis of the detected peak.