Data from a radar sensor (502) moving through a static environment may be smoothed and used to generate range profiles by approximating peaks. A direction of arrival (DOA) can then be determined based on the range profile in order to generate a reprojection map. The reprojection map is used to provide updates to a stored map in a robot (102).

Data from a radar sensor (502) moving through a static environment may be smoothed and used to generate range profiles by approximating peaks. A direction of arrival (DOA) can then be determined based on the range profile in order to generate a reprojection map. The reprojection map is used to provide updates to a stored map in a robot (102).

Doppler analysis of surface-penetrating radar signals are utilized to compute or estimate parameters associated with vehicle motion. The Doppler shift may originate with reflections from subsurface or above-surface features ahead of (or behind) the moving vehicle, in which case a vehicle speed may be computed from the shift; or may originate with reflections from surface or subsurface features directly below the vehicle, in which case the shift corresponds to a vertical speed that may be used to sense the performance of, or changes in, the vehicle's suspension system.

Doppler analysis of surface-penetrating radar signals are utilized to compute or estimate parameters associated with vehicle motion. The Doppler shift may originate with reflections from subsurface or above-surface features ahead of (or behind) the moving vehicle, in which case a vehicle speed may be computed from the shift; or may originate with reflections from surface or subsurface features directly below the vehicle, in which case the shift corresponds to a vertical speed that may be used to sense the performance of, or changes in, the vehicle's suspension system.

An RFID detector suitable for use in a passive RFID tag system that employs frequency hopping spread spectrum (FHSS) operation obtains an indication of at least one characteristic of a CW RF signal employing a hopped-to carrier frequency that is being transmitted from an RFID tag reader, e.g., for use in activating the RFID tag to be located, the indication of the characteristic being obtained based on a signal that is received from a source other than the RFID detector. The RFID detector may use the obtained indication of the characteristic of the CW RF signal to determine at least one position related parameter for the RFID tag. A location, e.g., of the tag, of a group of tags, of the RFID detector, or of another RFID detector, may be determined based on the position parameter.

The present disclosure generally pertains to radar determination circuitry configured to: measure a first position of a radar source and a second position of the radar source with respect to a reference coordinate system of a vehicle, wherein the first position and the second position differ from each other for synchronizing the movement of the radar source with a measurement frame including multiple chirp sequences for distinguishing multiple targets; and determine, for each of the multiple targets, a target parameter based on the synchronized movement of the radar source with the measurement frame.

An apparatus (100) for compensating for weather-independent Doppler expansions in radar signals of a weather radar system (200) is disclosed. The device comprises: a receiving device (110) for receiving a representation (50) of the radar signals, a calculation device (120) and a compensation device (130). The representation includes pixels of a range Doppler matrix. The calculation device (120) is designed to calculate azimuth angles (Azi) for the pixels (75) by means of fine bearing. The compensation device (130) is designed to correct weather-independent Doppler shifts for the pixels (75) based on the calculated azimuth angle (Azi; AziMopu) and thus to compensate for the weather-independent Doppler expansions and to provide them as a compensated representation (150).

A lane detection method includes obtaining visual detection data via a vision sensor disposed at a movable platform, performing lane line analysis and processing based on the visual detection data to obtain lane line parameters, obtaining radar detection data via a radar sensor disposed at the movable platform, performing boundary line analysis and processing based on the radar detection data to obtain boundary line parameters, and performing data fusion according to the lane line parameters and the boundary line parameters to obtain lane detection parameters.

A range setting unit sets, for each of tracked objects as objects being tracked, a connection range as a range in which the tracked object is estimated to be movable based on a state quantity of the tracked objects determined in the previous processing cycle. An association extraction unit extracts, for each of the tracked objects, a reflection point detected in the current processing cycle and positioned in the connection range as an associated reflection point. A state quantity update unit updates, for each of the tracked objects, the state quantity of the tracked objects in the current processing cycle, based on the previous state quantity and the state quantity of the associated reflection point.

A range setting unit sets, for each of tracked objects as objects being tracked, a connection range as a range in which the tracked object is estimated to be movable based on a state quantity of the tracked objects determined in the previous processing cycle. An association extraction unit extracts, for each of the tracked objects, a reflection point detected in the current processing cycle and positioned in the connection range as an associated reflection point. A state quantity update unit updates, for each of the tracked objects, the state quantity of the tracked objects in the current processing cycle, based on the previous state quantity and the state quantity of the associated reflection point.