Aspects of the present disclosure involve systems, methods, and devices for mitigating Lidar cross-talk. Consistent with some embodiments, a method includes detecting a noise signal producing noise in one or more return signals being received by a Lidar unit of an autonomous vehicle (AV) system, and detecting a noise source corresponding to the noise signal. The detecting of the noise source comprises determining a direction of the noise source relative to the AV system and determining a classification of the noise source based on an intensity of the noise signal. The method further includes generating state data to describe the noise source based on the direction of the noise source relative to AV system and the classification of the noise source. The method further includes controlling one or more operations of the AV system based on the state data describing the noise source.

A lidar may include a control module, a laser, and a detector. The control module is configured to determine N first sequences and N groups of first time intervals, where N is an integer greater than or equal to 1. The laser is configured to emit N first laser signals based on the N first sequences and the N groups of first time intervals. The detector is configured to receive N second laser signals, and convert the N second laser signals into electrical signals to obtain N first electrical signals. The control module is further configured to determine N second sequences and N groups of second time intervals based on the N first electrical signals.

A lidar may include a control module, a laser, and a detector. The control module is configured to determine N first sequences and N groups of first time intervals, where N is an integer greater than or equal to 1. The laser is configured to emit N first laser signals based on the N first sequences and the N groups of first time intervals. The detector is configured to receive N second laser signals, and convert the N second laser signals into electrical signals to obtain N first electrical signals. The control module is further configured to determine N second sequences and N groups of second time intervals based on the N first electrical signals.

A scanning LiDAR system includes a base frame, an optoelectronic assembly, and a lens assembly. The optoelectronic assembly includes one or more laser sources and one or more photodetectors, and is fixedly attached to the base frame. The lens assembly includes one or more lenses. The one or more lenses have a focal plane. The scanning LiDAR system further includes a first flexure assembly flexibly coupling the lens assembly to the base frame. The first flexure assembly is configured such that the one or more laser sources and the one or more photodetectors are positioned substantially at the focal plane of the one or more lenses. The first flexure assembly is further configured to be flexed so as to scan the lens assembly laterally in a plane substantially perpendicular to an optical axis of the emission lens.

A scanning LiDAR system includes a base frame, an optoelectronic assembly, and a lens assembly. The optoelectronic assembly includes one or more laser sources and one or more photodetectors, and is fixedly attached to the base frame. The lens assembly includes one or more lenses. The one or more lenses have a focal plane. The scanning LiDAR system further includes a first flexure assembly flexibly coupling the lens assembly to the base frame. The first flexure assembly is configured such that the one or more laser sources and the one or more photodetectors are positioned substantially at the focal plane of the one or more lenses. The first flexure assembly is further configured to be flexed so as to scan the lens assembly laterally in a plane substantially perpendicular to an optical axis of the emission lens.

Device, system, and method of aircraft protection and countermeasures against threats. A system for protecting an aircraft against a threat, includes a dual frequency Radio Frequency (RF) module, which includes: a dual-band RF transmitter and a dual-band RF receiver, to transmit and receive high-band RF signals and low-band RF signals; and a threat confirmation and tracking module, to confirm and track a possible incoming threat based on processing of high-band RF signals and low-band RF signals received by the dual-band RF receiver. The system further includes a dual frequency band antenna, to transmit and receive the high-band RF signals and the low-band RF signals. The system also includes a directed high-power laser transmitter, to activate a directed high-power laser beam as countermeasure towards a precise angular position of a confirmed threat.

An autonomous vehicle having a lidar sensor system is described. A computing system is configured to determine that the lidar sensor system is to update a code that is included in light signals emitted by the lidar sensor system. The computing system transmits a command signal to the lidar sensor system, wherein the command signal causes the lidar sensor system to transition from emitting light signals with a first code therein to emitting light signals with a second code therein, wherein the first code is different from the second code.

A distance measurement device (1) according to the present disclosure includes a time measurement unit, a histogram generation unit (7), a light source control unit (5), a selection unit (8), and a distance calculation unit (9). The time measurement unit measures time information indicating a time from a light emission timing at which a light source (2) emits light to a light reception timing at which a light receiving element (3) receives light. The histogram generation unit (7) generates a histogram based on the time information. The light source control unit (5) dynamically changes a driving state of the light source (2). The selection unit (8) selects one peak based on the driving state of the light source (2) in a case where a plurality of peaks are detected in the histogram in one frame. The distance calculation unit (9) calculates a distance (D) to an object based on the selected peak.

A distance measurement device (1) according to the present disclosure includes a time measurement unit, a histogram generation unit (7), a light source control unit (5), a selection unit (8), and a distance calculation unit (9). The time measurement unit measures time information indicating a time from a light emission timing at which a light source (2) emits light to a light reception timing at which a light receiving element (3) receives light. The histogram generation unit (7) generates a histogram based on the time information. The light source control unit (5) dynamically changes a driving state of the light source (2). The selection unit (8) selects one peak based on the driving state of the light source (2) in a case where a plurality of peaks are detected in the histogram in one frame. The distance calculation unit (9) calculates a distance (D) to an object based on the selected peak.

A method and device for determining the distance between an airborne receiver and a stationary ground transmitter are disclosed. A digital terrain model is implemented to determine a range of distance values containing the transmitter. A receiver distance is found and, with the range of values, a plurality of theoretical distances is calculated, to each of which a corresponding azimuth angle and elevation angle are associated. The thus calculated azimuth and elevation angles are compared to the measured azimuth and elevation angles of the line of sight under which the receiver observes the transmitter.