Abstract: Systems and methods are provided for controlling a vehicular radar system. The radar scan patters used by the radar system when detecting objects in the environment around the vehicle can be controlled to gather additional information about the objects in the environment. The radar system can generate parameters about objects in the environment detected by the radar system. The parameters can then be evaluated to determine if the collection of additional information about the detected object in the environment is desirable. If additional information about the detected object in the environment is to be collected, a different radar scan pattern having different waveforms can be used to gather specific information about the object.

Abstract: Systems and methods are provided for controlling a vehicular radar system by selecting a radar scan pattern to be used by the vehicular radar system. The vehicular radar system can generate numerous different radar scan patterns to be used by the radar system to gather additional information about the objects in the environment. The vehicular radar system can incorporate a scheduler to adjudicate between the numerous generated radar scan patterns to determine the radar scan pattern that is implemented by the vehicular radar system. The scheduler can determine the radar scan pattern to be implemented by the vehicular radar system by prioritizing and ranking the different radar scan patterns. The radar scan pattern having the highest priority and ranking can then be implemented by the vehicular radar system.

Abstract: The present disclosure generally pertains to systems and methods for processing radar signals from a sparse MIMO array. In some embodiments, the signals from a MIMO radar array are processed to generate a sparse virtual array. Then, by using a two-dimensional (2D) variant of missing-data iterative adaptive approach (missing-data IAA or MIAA) to process the virtual array, the system can estimate information from the missing antennas of the sparse virtual array. Then, by using the now full virtually array, the system can process the virtual array using a variant of multi-dimensional folding (MDF) to discover the existence and location (e.g., distance, elevation, and azimuth) of objects (also called scatterers) within the MIMO radar array's field of view.

Abstract: The present disclosure generally pertains to systems and methods for autonomously detecting and correcting anomalies in position information provided to aircraft using radio-frequency signals. By enabling autonomously detecting and correcting for anomalies in the operation of a ground-based solution entirely independent of GPS, systems of the present disclosure can make the provided position information more accurate and robust, thereby enhancing the effectiveness and safety of navigation systems using the provided position information. More precisely, systems of the present disclosure may employ a series of ground-based beacon transmitters to provide radio-frequency (RF) signal pulse with a highly regular frequency. A locating receiver can detect the arrival times of these pulses and use this information to detect and report certain anomalies. These reports may then be used to autonomously correct the detected anomalies.

Abstract: The present disclosure generally pertains to systems and methods for autonomously detecting and correcting anomalies in position information provided to aircraft using radio-frequency signals. By enabling autonomously detecting and correcting for anomalies in the operation of a ground-based solution entirely independent of GPS, systems of the present disclosure can make the provided position information more accurate and robust, thereby enhancing the effectiveness and safety of navigation systems using the provided position information. More precisely, systems of the present disclosure may employ a series of ground-based beacon transmitters to provide radio-frequency (RF) signal pulse with a highly regular frequency. A locating receiver can detect the arrival times of these pulses and use this information to detect and report certain anomalies. These reports may then be used to autonomously correct the detected anomalies.

Abstract: The present disclosure includes systems and methods for controlling the lane positions of a plurality of vehicles to reduce roadway wear. At least one controller is configured to receive information regarding a reference that may indicate a lane boundary. The controller determines a lane position offset from the reference, where the offset may be randomly selected or deterministically determined with an algorithm. The at least one controller is further configured to assign the lane position offset to one vehicle of a group of vehicles so that the assigned offset is different from the lane position offsets of the other vehicles. The assignment of different lane position offsets distributes wear across the lane of the roadway.

Abstract: The present disclosure includes systems and methods for adjusting the lane position of a vehicle. A radar system positioned on a first vehicle is configured to transmit radio waves and receive reflections of the radio waves, which produces radar data indicative of the reflections. At least one controller of the first vehicle is configured to identify at least one radar marker based on the radar data and to determine the location of the identified marker. The at least one controller is further configured to decode encoded information of the radar marker, where the information may indicate a condition associated with the roadway on which the vehicle is traveling. The at least one controller may then adjust the lane position of the vehicle based on the location of the marker and any decoded information.

Abstract: A radar-based system for determining the local position of a vehicle uses markers with at least one radar-reflective element, as well as a radar system and vehicle controller. The radar system transmits radio waves, which are reflected by nearby objects, including the radar markers. The radar system receives the reflected radio waves and detects the unique radar signatures from the radar markers, as well as range, azimuth, and/or elevation dimensions of the vehicle with respect to the radar markers. The unique radar signatures and dimensions are communicated to the vehicle controller, which then determines the local position of the vehicle from the unique radar signatures and dimensions.

Abstract: The present disclosure generally pertains to systems and methods for processing radar signals from a sparse MIMO array. In some embodiments, the signals from a MIMO radar array are processed to generate a sparse virtual array. Then, by using a two-dimensional (2D) variant of missing-data iterative adaptive approach (missing-data IAA or MIAA) to process the virtual array, the system can estimate information from the missing antennas of the sparse virtual array. Then, by using the now full virtually array, the system can process the virtual array using a variant of multi-dimensional folding (MDF) to discover the existence and location (e.g., distance, elevation, and azimuth) of objects (also called scatterers) within the MIMO radar array's field of view.