Radar installation and calibration systems and methods are provided. In one example, a controller of a radar system receives installation parameters associated with an installation of a radar system. A present orientation of a radar device of the radar system is determined and compared to the installation parameters to determine a deviation of the present orientation from the installation parameters. The deviation is sent to a coordinating device associated with the radar device to cause the deviation to be outputted as installation feedback through the coordinating device. Related systems and methods are also provided.

A frequency modulation continuous wave (FMCW)-based system configured to convert measurements of a linearly modulated wave from a time-domain into a frequency-domain to produce a non-linear frequency signal, where the non-linear frequency signal comprises a known linear component representing the desired linear modulation and an unknown non-linear component representing the non-linearity of the modulation. The FMCW-based system is further configured to determine coefficients of a basis function approximating a difference between the non-linear frequency signal and the linear frequency component in the frequency domain. The FMCW-based system is further configured to detect one or multiple spectrum peaks in the distorted beat signal with the distortion compensated according to the basis function with the determined coefficients to determine one or multiple distances to the one or multiple objects in the scene.

A sensor aiming device includes: a target positional relationship processing unit for outputting positional relationship information of first and second targets; a sensor observation information processing unit configured to convert the observation result of the first and second targets into a predetermined unified coordinate system according to a coordinate conversion parameter, perform time synchronization at a predetermined timing, and extract first target information indicating a position of the first target and second target information indicating a position of the second target; a position estimation unit configured to estimate a position of the second target using the first target information, the second target information, and the positional relationship information; and a sensor correction amount estimation unit configured to calculate a deviation amount of the second sensor using the second target information and an estimated position of the second target and estimate a correction amount.

A system includes a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive, from a radar sensor of a vehicle, radar data indicative of a stationary object proximate to the radar sensor; receive, from a non-radar sensor of the vehicle, vehicle state data indicative of a vehicle state, the vehicle state data indicative of at least a longitudinal velocity and a yaw rate of the vehicle; determine an orientation estimate and an offset estimate of the radar sensor based on the radar data and the vehicle state data; and determine whether to actuate a vehicle system based on at least one of the orientation estimate or the offset estimate.

An object information acquisition unit acquires object information including an object distance between a radar device and a reflection object and an object azimuth angle at which the reflection object is located. A roadside object extraction unit extracts roadside object information on a roadside object from the object information. An axis deviation angle estimation unit estimates a vertical axis deviation angle from the roadside object information. The vertical axis deviation angle is an angle of deviation of an actual mounting direction from a reference mounting direction in a vertical direction. The actual mounting direction is an actual direction of the radar device, and the reference mounting direction is a direction of the radar device when the radar device is mounted in a reference state.

The concepts, systems and methods described herein are directed towards frequency jump burst-pulse-Doppler (FJB-PD) waveforms and processing to provide wideband, high range resolution (HRR) radar profiling capability in a clutter dense environment. The method includes transmitting a FJB-PD waveform comprising a plurality of frequency steps over a predetermined time period with each frequency step having a plurality of pulses. The method further includes receiving one or more FJB-PD pulse returns corresponding to the FJB-PD waveform and identifying one or more target detections in the one or more FJB-PD pulse returns. A set of range swaths may be extracted for each of the one or more target detections and a wideband spectrum may be generated for each of the sets of range swaths using FJB coherent integration. A clutter suppressed HRR profile may be generated for each of the target detections based on the respective wideband spectrum.

An axis deviation detection device detects a deviation of a central axis of an in-vehicle measurement device that executes measurement using radar waves. The axis deviation detection device performs correction of data that are obtained by the measurement device, to generate first data. Furthermore, the axis deviation detection device generates second data, based on behavior of the vehicle as measured by a sensor unit. The axis deviation detection device then detects the deviation of the central axis, from the first and second data.

Surrogates for roadside objects, such as concrete curbs, can be used for vehicle testing. A surrogate for a concrete curb can substantially be similar in size and/or shape as the concrete curb that the surrogate is mimicking. The surrogate can be configured to exhibit substantially the same characteristics as their actual counterpart concrete curb when sensed by one or more vehicle sensors (e.g., cameras, radar sensors, and/or LIDAR sensors). Such surrogates can be used to test automated vehicles, one or more vehicle sensors, a vehicle sensor system, and/or one or more vehicle system (e.g., a road departure mitigation system). The surrogates can be configured to withstand being impacted by a test vehicle without being damaged and without damaging the test vehicle.

Examples of imaging systems are described herein which may implement microwave or millimeter wave imaging systems. Examples described may implement partitioned inverse techniques which may construct and invert a measurement matrix to be used to provide multiple estimates of reflectivity values associated with a scene. The processing may be partitioned in accordance with a relative position of the antenna system and/or a particular beamwidth of an antenna. Examples described herein may perform an enhanced resolution mode of imaging which may steer beams at multiple angles for each measurement position.

A vehicular apparatus is provided with a radar device. A station apparatus has a stop position for the vehicular apparatus. The station apparatus is provided with a signal source located at a position and transmitting a radio signal to the radar device. A receiver circuit of the radar device receives a radio signal from a signal source to output a received signal, when the vehicular apparatus stops at the stop position. A signal processing circuit of the radar device estimates distance and direction of the signal source with respect to the radar device based on the received signal. A control circuit of the radar device calibrates the receiver circuit, or the signal processing circuit based on known distance and direction of the signal source with respect to the radar device of the vehicular apparatus stopping at the stop position, so as to minimize errors of the estimated distance and direction.