A radar device that detects one or more information elements, groups the one or more information elements into one or more first groups in each frame, the one or more first groups including information on one or more first objects of which Doppler speeds fall within a determined range, groups the one or more information elements into one or more second groups in each frame, the one or more second groups including information on one or more second objects of which Doppler speeds fall outside the determined range calculates first positions in m-th frame, of positions of groups to be followed of the first groups and the second groups in n-th frame and extracts the groups to be followed in the m-th frame from the first groups and the second groups in the m-th frame using the first positions.

A control system and method dynamically adjust radar parameters of a radar system on a platform. The method includes obtaining inputs including platform parameters, wherein the platform parameters includes speed and braking duration, and obtaining a characterization of driving behavior based on the inputs. Modifying the radar parameters is based on the inputs and the characterization, wherein the modifying includes changing a maximum range, and providing alerts to a driver of the platform is based on the radar system.

A multi-input multi-output (MIMO) radar system and method of performing low-latency decoding in a MIMO radar system. The method includes transmitting a different linear frequency-modulated continuous wave (LFM-CW) transmit signal from each of N transmit elements of the MIMO radar system, each transmit signal associated with teach of the N transmit elements including a respective code, and receiving reflections associated with each of the transmit signals from each of the N transmit elements at each receive element of the MIMO radar system. Processing each symbol corresponding with each received reflection on a symbol-by-symbol basis is done to obtain a respective decoded signal prior to receiving all the received reflections associated with all the N transmit elements, wherein the processing includes using a Hadamard matrix with N columns in which each column is associated with the respective code transmitted by each of the N transmit elements.

A protection and guidance gear or equipment for monitoring and detection of impacts from surrounding objects. The protection and guidance gear or equipment comprises of a number of image sensors to record images, use images to estimate and calculate environment parameters, a number of wireless sensors to measure environment parameters, and a controller with artificial intelligence to process the information data from image processor and wireless sensor. The controller utilizes the received information data from image processors and wireless sensor to evaluate various environmental parameters which can be used to activate certain functions and devices.

In one embodiment, a method for tracking multiple objects with a probabilistic hypothesis density filter is provided. The method includes comparing second track IDs corresponding to newly obtained measurements to one or more first track IDs corresponding to a T.sub.k+1 predicted intensity having a predicted weight. If all of the one or more first track IDs match any of the second track IDs, the predicted weight is multiplied by a first value. If less than all of the one or more first track IDs match any of the second track IDs, the predicted weight is multiplied by a second value, wherein the second value is greater than the first value. The method then determines whether to prune the T.sub.k+1 predicted intensity based on the predicted weight after multiplying with either the first value or the second value.

A radar antenna assembly suitable to mount atop a vehicle as part of a radar system for the vehicle includes a horizontal array and a vertical array. The horizontal array is configured to preferentially detect objects in a forward area and a rearward area about the vehicle. The vertical array is configured to preferentially detect objects in a leftward area and a rightward area about the vehicle. The horizontal array and the vertical array cooperate to detect an object in a panoramic area that surrounds the vehicle.

A resettable bracket is herein presented. The bracket is configured to mount a transceiver to a vehicle. The bracket includes a first piece and a second piece configured to be pivotably connected to each other. A docking station is mounted to the first piece. The docking station includes a bluff, an over-travel stop, and a plurality of arms configured to restrict pivotable movement of the second piece in relation to the first piece. A fitting element is mounted to the second piece. The fitting element is configured to dock into the docking station to substantially create the pivotable connection between the first and the second piece. A spring is installed at the pivotable connection between the first and second pieces. The spring is configured to allow the second piece to automatically return to a default position after being pivoted in relation to the first piece.

A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a parked vehicle with its engine running. The location of the parked vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of the parked vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a parked vehicle with its engine running based on actual sensor outputs input to the machine learning model.

A vehicular radar system includes a plurality of transmitting sub-arrays and a transmission power divider. The plurality of transmitting sub-arrays are symmetric with respect to a symmetry axis, and the plurality of transmitting sub-arrays are parallel to the symmetry axis. The transmission power divider, coupled to the plurality of transmitting sub-arrays, is configured to apply a plurality of phases and a plurality of amplitudes to the plurality of transmitting sub-arrays. A first transmitting sub-array, among the plurality of transmitting sub-arrays and closest to the symmetry axis, and a second transmitting sub-array, among the plurality of transmitting sub-arrays and farthest away from the symmetry axis, have a phase difference in between, and the phase difference is between 120 degrees and 180 degrees.

There is provided a radar device. A signal processing unit is configured to: acquire first and second estimate peaks estimated as a first peak in a rising section and a second peak in a falling section; extract first and second history peaks existing in a predetermined range from the first and second estimate peaks. A determining unit is configured to determine that the signal processing unit has erroneously extracted the first peak corresponding to a still object as the first peak corresponding to a moving object, if an accuracy of pairing of the first history peak and a second object peak existing in a predetermined range apart from the first history peak by a predetermined distance is larger than an accuracy of pairing of the first and second history peaks in a situation where a distance between the radar device and the moving object decreases.