Panasonic Corporation

Panasonic Intellectual Property Management Co., Ltd.

Weijie Liu

Yoichi Nakagawa

Ken Naka

Makoto Yasugi

Yoshio Urabe

Masakazu Nishino

Tsuyoshi Ueno

Xiaohui Xie

Junichi Morita

Qiang Wei

Toyoki Kawahara

Gang Wu

Toshihiro Kasahara

To enable a risk of collision between moving objects such as a pedestrian and a vehicle to be quickly and accurately determined in a roadside device, when the roadside device receives a message including state information indicating that a pedestrian is in a risky state from a pedestrian terminal, the roadside device acquires position information of a vehicle present around the pedestrian in the risky state based on a result of detecting vehicles on roads by a radar, determines a risk of collision between the pedestrian in the risky state and the vehicle based on the position information of the vehicle, and when the risk of collision exists, transmits a message including alarm information indicating that the risk of collision exists to the terminal.

Roadside device, communication system, and danger detection method

An object detection apparatus includes: capture region extraction circuitry receives measurement information generated by a radar apparatus using reflected waves from each object and uses the measurement information to extract second unit regions as first capture regions from among first unit regions, the first unit regions being regions into which a measuring range of the radar apparatus has been divided, the second unit regions being regions in which each object has been captured; preliminary grouping circuitry that forms a preliminary group including a second capture region that is present within a determined range; feature quantity acquisition circuitry that calculates a feature quantity that represents an association between the preliminary group and the second capture region; discrimination circuitry that discriminates a type of each object that belongs to the second capture region; and object determination circuitry that groups the second capture region according to the type to detect that object.

Object detection apparatus and object detection method

Frequency analysis of each of a plurality of reception antennas and each of reception signals received by the plurality of reception antennas is performed, a power spectrum is calculated for each of the reception antennas, a standard deviation indicating a degree of conformity in a peak of the power spectrum among the plurality of reception antennas is calculated, the power spectra are corrected with use of the standard deviation, a peak is detected based on the corrected power spectra, and a target object is detected based on the detected peak.

Radar apparatus and target object detection method

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.

Object detection device and object detection method

A capture point calculating portion calculates a local maximum point of the intensity of reflection from power profile information. The maximum point calculated by the capture point calculating portion is used as a capture point at which a target object is captured. A capture region calculating portion calculates at least one or more capture regions, each including a capture point. If a plurality of capture regions are calculated, a capture region grouping portion determines whether or not to perform grouping of the capture regions based on a predetermined condition. An object determining portion determines the type of the object (for example, a large vehicle, a small vehicle, a two-wheel vehicle, and a pedestrian) based on the capture region obtained as a result of grouping.

Object detecting device, radar device, and object detection method

A transmission apparatus includes a first transmission section for transmitting communication data using a first communication path in which band control is performed using a dedicated band and an undedicated band; a second transmission section for transmitting communication data using a second communication path in which priority control is performed depending on the priority of communication data; a switching control section for performing switching between the transmission using the first transmission section and the transmission using the second transmission section; and a parameter setting section for setting communication parameters for performing communication using the second communication path in the case that switching is performed from the transmission using the first transmission section to the transmission using the second transmission section.

Transmission apparatus and transmission method

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.

A capture region calculation unit calculates a capture point having the local highest reflection intensity in power profile information and calculates a capture region surrounding the capture point. An edge calculation unit calculates the edges of one or more objects from image data. A marker calculation unit calculates a marker from the capture region. A component region calculation unit calculates component regions by extending the marker using the edges. A grouping unit groups component regions belonging to the same object, of the component regions. The object identification unit identifies the types of one or more objects (e.g., large vehicle, small vehicle, bicycle, pedestrian, flight object, bird) on the basis of a target object region resulting from the grouping.

Object detection apparatus and method

A wireless communication apparatus which communicates with at least one wireless station apparatus by utilizing EDCA mechanism includes the following elements. A first channel state determining unit determines a usage state of a communication channel used between the wireless communication apparatus and the wireless station apparatus in a contention period of the communication channel. A first terminal occupation time calculating unit calculates, on the basis of the usage state, a different-terminal occupation time in the contention period of the communication channel. A first traffic measuring unit measures an amount of data received from the wireless station apparatus in the different-terminal occupation time. A first parameter adjusting unit adjusts an EDCA parameter set used in the EDCA mechanism, on the basis of the different-terminal occupation time and the amount of received data. A parameter updating unit updates the EDCA parameter set to an adjusted EDCA parameter set.

Wireless communication apparatus, wireless station apparatus and wireless communication method

There is provided a wireless communication device that may prevent a degradation of QoS of communications caused by a schedule change. A wireless communication device in a wireless communication system that transits and receives a traffic stream using a millimeter wave includes a schedule generator, a transmitter, and a receiver, the schedule generator generating a schedule for at least one wireless station, which communicates with the wireless communication device, to transmit a plurality of traffic streams, the transmitter transmitting the generated schedule to the wireless station using a broadcast frame, the receiver receiving QoS requests transmitted by the respective wireless stations, each of the QoS requests including a current MCS index and a range of available MCS indexes for transmitting a traffic stream. In accordance with the QoS requests received by the receiver the schedule generator sets a period for periodically allocating respective transmission time periods of the plurality of traffic streams, and generates a schedule in which, in each period, an interval is provided between transmission time periods of the plurality of traffic streams, the transmission time periods being next to each other.

Wireless communication device, wireless communication system, and wireless communication method

An image pickup device () wherein a target area, on which an exposure control is based, is accurately detected to perform the exposure control most favorably to the target. The image pickup device () comprises a feature detecting unit () that detects, based on the contour of the target, a target candidate from a picked-up image (S); a block voting unit () that votes those ones of a plurality of blocks to which the target detected by the feature detecting unit () belong, the plurality of blocks being obtained by dividing the area of the picked-up image into the plurality of blocks; a vote compiling unit () that adds vote results (S) together on a block-by-block basis over a plurality of frames, thereby compiling the vote results (S); a significance determining unit () that select, based on a compilation result (S), blocks to be used for controlling the exposure; and a control unit () that controls the exposure of an image pickup unit () based on the brightness of the blocks selected by the significance determining unit ().

Image pickup device and image pickup method

An image processing device capable of high-speed detection of a specific shape in an image. In the image processing device, a candidate position calculation section () obtains a first candidate position of the center point of a first circle in contact at three points with three sides contained in the shape of an object to be detected. An angle calculation section () obtains an angle formed by a normal line drawn from each of the three sides to the first candidate position and a standard line oriented in a specific direction and passing a point at which the normal line and each of the three sides cross. A relative relationship calculation section () obtains a relationship of the angle relative to the first candidate position. A recognition section () recognizes the shape contained in the given image based on the relative relationship of the angle and a relative relationship of a shape stored in advance.

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Kanagawa, Japan

Weijie Liu