Abstract: A radar sensor includes a memory storing a model defining a relationship between a condition of the radar sensor and a plurality of features of radar detections, the model being generated by a machine learning approach and storing values of the plurality of features associated with the known states of the condition of the radar sensor. A radar detector transmits radar signals into a region, detects reflected returning radar signals from the region, and converts the reflected returning radar signals into digital data signals. A processor receives the digital data signals and processes the digital data signals to generate actual radar detections, each characterized by a plurality of the features of radar detections. The processor applies values of the features of the actual radar detections to the model to determine the state of the condition of the radar sensor.

Abstract: A radar sensor includes a memory storing a model defining a relationship between a condition of the radar sensor and a plurality of features of radar detections, the model being generated by a machine learning approach and storing values of the plurality of features associated with the known states of the condition of the radar sensor. A radar detector transmits radar signals into a region, detects reflected returning radar signals from the region, and converts the reflected returning radar signals into digital data signals. A processor receives the digital data signals and processes the digital data signals to generate actual radar detections, each characterized by a plurality of the features of radar detections. The processor applies values of the features of the actual radar detections to the model to determine the state of the condition of the radar sensor.

Abstract: A radar sensor includes a memory storing a model defining a relationship between a condition of the radar sensor and a plurality of features of radar detections, the model being generated by a machine learning approach and storing values of the plurality of features associated with the known states of the condition of the radar sensor. A radar detector transmits radar signals into a region, detects reflected returning radar signals from the region, and converts the reflected returning radar signals into digital data signals. A processor receives the digital data signals and processes the digital data signals to generate actual radar detections, each characterized by a plurality of the features of radar detections. The processor applies values of the features of the actual radar detections to the model to determine the state of the condition of the radar sensor.

Abstract: Methods and systems for remote detection of objects involving cued sensor fusion. In some implementations, a first set of sensed data may be generated using a first object sensor and a second set of sensed data generated using a second object sensor. An object may then be detected using the sensed data from the first object sensor. Upon detecting the object using the sensed data from the first object sensor, a setting associated with the second object sensor may be changed to increase the probability of detecting the object using the second set of sensed data from the second object sensor.

Abstract: An automotive detection system includes a signal transmitter and a receiver, which generates receive signals indicative of reflected signals. A processor (i) receives the receive signals, (ii) processes the receive signals to generate detections of one or more objects in the region, each of the detections being associated with a position in a two-dimensional orthogonal coordinate system in a plane in which the sensor is moving, (iii) detects a pattern of detections in the two-dimensional orthogonal coordinate system by determining a quantity of detections having coordinates in a rectangular region within the two-dimensional orthogonal coordinate system, (iv) determines an angle of an axis of the rectangular region with respect to a reference direction in the two-dimensional orthogonal coordinate system, and (v) determines an angle of misalignment of the sensor from the angle of the axis of the rectangular region with respect to the reference direction.

Abstract: A radar module for forming an ultra-wide field of view, including vertically oriented and laterally spaced first and second antennas for transmitting radar signals and for receiving the radar signals after the radar signals have been reflected from a reflecting surface of an object in the FOV of the module. At least one transceiver is configured to generate drive signals for the first and second antennas, such that each antenna forms a flat beam, and a signal processor is configured to detect from the received reflected radar signals a location of one or more objects in the FOV of the module.

Abstract: A system and method for mitigating interference in a frequency-modulated continuous-wave radar processing system is defined. Random inter-pulse jitter is implemented in a transmitted radar signal to prevent identification of false tracks due to interfering radar signals. Random intra-pulse jitter of time and/or frequency is implanted to create spreading of false targets and provide a method to distinguish false targets from true targets. Adjacent sensors in a multi-sensor radar system are alternatingly configured to transmit either upward ramping or downward ramping frequencies to mitigate interference between adjacent sensors in the same radar system.

Abstract: Methods and systems for remote detection of objects involving cued sensor fusion. In some implementations, a first set of sensed data may be generated using a first object sensor and a second set of sensed data generated using a second object sensor. An object may then be detected using the sensed data from the first object sensor. Upon detecting the object using the sensed data from the first object sensor, a setting associated with the second object sensor may be changed to increase the probability of detecting the object using the second set of sensed data from the second object sensor.

Abstract: An automotive detection system includes a signal transmitter and a receiver, which generates receive signals indicative of reflected signals. A processor (i) receives the receive signals, (ii) processes the receive signals to generate detections of one or more objects in the region, each of the detections being associated with a position in a two-dimensional orthogonal coordinate system in a plane in which the sensor is moving, (iii) detects a pattern of detections in the two-dimensional orthogonal coordinate system by determining a quantity of detections having coordinates in a rectangular region within the two-dimensional orthogonal coordinate system, (iv) determines an angle of an axis of the rectangular region with respect to a reference direction in the two-dimensional orthogonal coordinate system, and (v) determines an angle of misalignment of the sensor from the angle of the axis of the rectangular region with respect to the reference direction.

Abstract: An automotive radar system and method transmit a plurality of radar signals into a region, detect reflected radar signals, and convert the reflected radar signals into digital data signals. A plurality of range-Doppler maps for the region are generated from the digital data signals, and the plurality of range-Doppler maps are averaged to generate an averaged range-Doppler map for the region. Data points in the averaged range-Doppler map are analyzed to detect blobs in the averaged range Doppler map. If a blob is detected in the averaged range-Doppler map, the radar detector is indicated to be unblocked.

Abstract: A radar module for forming an ultra-wide field of view, including vertically oriented and laterally spaced first and second antennas for transmitting radar signals and for receiving the radar signals after the radar signals have been reflected from a reflecting surface of an object in the FOV of the module. At least one transceiver is configured to generate drive signals for the first and second antennas, such that each antenna forms a flat beam, and a signal processor is configured to detect from the received reflected radar signals a location of one or more objects in the FOV of the module.

Abstract: A system and method for mitigating interference in a frequency-modulated continuous-wave radar processing system is defined. Random inter-pulse jitter is implemented in a transmitted radar signal to prevent identification of false tracks due to interfering radar signals. Random intra-pulse jitter of time and/or frequency is implanted to create spreading of false targets and provide a method to distinguish false targets from true targets. Adjacent sensors in a multi-sensor radar system are alternatingly configured to transmit either upward ramping or downward ramping frequencies to mitigate interference between adjacent sensors in the same radar system.

Abstract: An automotive radar system and method transmit a plurality of radar signals into a region, detect reflected radar signals, and convert the reflected radar signals into digital data signals. A plurality of range-Doppler maps for the region are generated from the digital data signals, and the plurality of range-Doppler maps are averaged to generate an averaged range-Doppler map for the region. Data points in the averaged range-Doppler map are analyzed to detect blobs in the averaged range Doppler map. If a blob is detected in the averaged range-Doppler map, the radar detector is indicated to be unblocked.

Abstract: An illuminated three-dimensional model is fabricated by importing or generating a digital dataset representing the surface of a three-dimensional source surface; producing a three-dimensional model of the three-dimensional source surface from the digital dataset, wherein the three-dimensional model has a translucent or diffusive surface and a base surface; and mounting a projection device in a configuration such that distinctive patterns of light are directed from the projection device through the base surface of the three-dimensional model to selectively illuminate at least a portion of the translucent or diffusive surface of the three-dimensional model.