A method is provided for classifying an object, in particular in the surroundings of a motor vehicle, using an ultrasonic sensor system, the ultrasonic sensor system including a plurality of spatially distributed ultrasonic sensors. A plurality of measurements are carried out continuously during a measurement, an ultrasonic signal being emitted by one of the ultrasonic sensors, a signal being received by at least one of the ultrasonic sensors which includes a plurality of reflected echo signals, so-called multiple echoes, and the received echo signals being associated with an object. A plurality of features may be determined from the received echo signals. The object is classified as a function of a combination of at least two of these features, in particular as a pedestrian.

A method is provided for classifying an object, in particular in the surroundings of a motor vehicle, using an ultrasonic sensor system, the ultrasonic sensor system including a plurality of spatially distributed ultrasonic sensors. A plurality of measurements are carried out continuously during a measurement, an ultrasonic signal being emitted by one of the ultrasonic sensors, a signal being received by at least one of the ultrasonic sensors which includes a plurality of reflected echo signals, so-called multiple echoes, and the received echo signals being associated with an object. A plurality of features may be determined from the received echo signals. The object is classified as a function of a combination of at least two of these features, in particular as a pedestrian.

A computer implemented method for determining a position, and/or an acceleration, and/or an angular rate and/or an orientation of a vehicle includes the following steps carried out by computer hardware components: determining first measurement data using a first sensor; determining a preliminary position and/or a preliminary orientation based on the first measurement data; determining second measurement data using a second sensor, wherein the second sensor includes a radar sensor and/or a LIDAR sensor and/or a camera; determining a preliminary acceleration and/or a preliminary angular rate based on the second measurement data; and determining a final position, and/or a final acceleration, and/or a final angular rate and/or a final orientation based on the preliminary acceleration and/or the preliminary angular rate, and the preliminary position and/or the preliminary orientation.

This application discloses an object recognition method and apparatus based on ultrasonic echoes performed by a computer device. The method includes: receiving an echo signal reflected by an object and captured by a terminal, the echo signal corresponding to an ultrasonic signal transmitted by the terminal to the object; extracting an ultrasonic echo feature of the echo signal; performing feature dimension conversion on the ultrasonic echo feature to obtain a target dimension feature; and further, performing image translation to obtain object image information corresponding to the object. Compared with image collection using cameras, the transmission of ultrasonic signals and the reception of reflected echo signals are less sensitive to the changes of scenarios. When image collection is not feasible, physical information carried by ultrasonic echoes can be accurately translated into the image of the object to be identified, thereby ensuring the accuracy of object recognition.

An arithmetic device includes: an input unit to which information pertaining to a detection target that is a target recognized by a sensor is input from the sensor; a processing-unit allocation unit that is configured to allocate a plurality of the targets to any one of a plurality of groups; an association unit that is configured to retrieve a second one of the targets to be associated with a first one of the targets from a part of the plurality of groups included in the plurality of groups; and a state fusion unit that is configured to fuse the first target and the second target that have been associated with each other by the association unit to produce a tracking target that is a target being tracked. The first target is any one of the detection target and the tracking target. The second target is any one of the detection target and the tracking target.

A dual-band ultrasonic sensing apparatus for vehicles and a control method thereof. The dual-band ultrasonic sensing apparatus includes a first waveform transceiver configured to transmit and receive ultrasound in a first center frequency band, a second waveform transceiver configured to transmit and receive ultrasound in a second center frequency band higher than the first center frequency band, a processor configured to sequentially transmit and receive ultrasonic waves through the first and second waveform transceivers, to calculate each distance based on the result of transmission and reception by compensating for signal attenuation due to a difference in center frequency, and to calculate a final distance by determining whether to detect an obstacle through each calculated distance, and an output unit configured to output the final distance calculated by the processor.

A dual-band ultrasonic sensing apparatus for vehicles and a control method thereof. The dual-band ultrasonic sensing apparatus includes a first waveform transceiver configured to transmit and receive ultrasound in a first center frequency band, a second waveform transceiver configured to transmit and receive ultrasound in a second center frequency band higher than the first center frequency band, a processor configured to sequentially transmit and receive ultrasonic waves through the first and second waveform transceivers, to calculate each distance based on the result of transmission and reception by compensating for signal attenuation due to a difference in center frequency, and to calculate a final distance by determining whether to detect an obstacle through each calculated distance, and an output unit configured to output the final distance calculated by the processor.

A navigation system for a marine vessel incudes one or more proximity sensors, each at a sensor location on the marine vessel and configured to measure proximity of objects in an area surrounding the marine vessel and generate proximity measurements, and a control system configured to receive the proximity measurements measured by the one or more proximity sensors. From the received proximity measurements, four linearly-closest proximity measurements to the marine vessel are identified, including one closest proximity measurement to the marine vessel in each of a positive X direction, a negative X direction, a positive Y direction, and a negative Y direction. A most important object (MIO) dataset is generated identifying the four linearly-closest proximity measurements and propulsion of the marine vessel is controlled based at least in part on the MIO dataset.

Methods and systems for storing and processing a plurality of fractions of imaging data thereby minimizing the amount of cache memory necessary while controlling data loss and the resulting image quality.

Methods and systems for storing and processing a plurality of fractions of imaging data thereby minimizing the amount of cache memory necessary while controlling data loss and the resulting image quality.