An example method includes causing a light projecting system of a distance sensor to project a three-dimensional pattern of light onto an object, wherein the three-dimensional pattern of light comprises a plurality of points of light that collectively forms the pattern, causing a light receiving system of the distance sensor to acquire an image of the three-dimensional pattern of light projected onto the object, causing the light receiving system to acquire a two-dimensional image of the object, detecting a feature point in the two-dimensional image of the object, identifying an interpolation area for the feature point, and computing three-dimensional coordinates for the feature point by interpolating using three-dimensional coordinates of two points of the plurality of points that are within the interpolation area.

An example method includes causing a light projecting system of a distance sensor to project a three-dimensional pattern of light onto an object, wherein the three-dimensional pattern of light comprises a plurality of points of light that collectively forms the pattern, causing a light receiving system of the distance sensor to acquire an image of the three-dimensional pattern of light projected onto the object, causing the light receiving system to acquire a two-dimensional image of the object, detecting a feature point in the two-dimensional image of the object, identifying an interpolation area for the feature point, and computing three-dimensional coordinates for the feature point by interpolating using three-dimensional coordinates of two points of the plurality of points that are within the interpolation area.

A LIDAR noise removal apparatus and a LIDAR noise removal method thereof are provided. The apparatus includes a LIDAR detection information processor that processes LIDAR detection information received from a LIDAR of a vehicle. A sun position acquirer acquires an azimuth angle and elevation angle of the sun relative to a traveling direction of the vehicle. An ROI selector selects an ROI corresponding to the sun from a front image of the vehicle based on the azimuth angle and elevation angle and compares a brightness of the selected ROI with a threshold value. A noise region selector selects a noise region corresponding to the ROI from the LIDAR detection information based on the azimuth angle and elevation angle when the brightness of the ROI exceeds the threshold value, and a noise remover removes noise points in the selected noise region.

A 3D range imaging method using a LiDAR system includes sequentially generating multiple far field patterns to illuminate a target scene, each far field pattern including a plurality of light spots where each spot illuminates only a segment of a scene region unit that corresponds to a sensor pixel of the LiDAR receiver. Within each scene region unit, the multiple segments illuminated in different rounds are non-overlapping with each other, and they collectively cover the entire scene region unit or a part thereof. With each round of illumination, the signal light reflected from the scene is detected by the sensor pixels, and processed to calculate the depth of the illuminated segments. The calculation may take into consideration optical aberration which causes reflected light from an edge segment to be received by two sensor pixels. The depth data calculated from the sequential illuminations are combined to form a ranged image.

A distance measuring apparatus includes a light source to emit light beams, an optical scanner to scan the light beams output from the light source over a predetermined range, a light receiver to receive reflected light obtained as a result of the light beams being reflected by a target object, and to output detection signals, and a control circuit to measure a distance to the target object based on the detection signals. The light source including a plurality of light-emitting device groups that are arranged in a scan direction of a scan performed by the optical scanner, and the control circuit being to make the plurality of light-emitting device groups emit light at respective different timings in a single scan, and to measure the distance to the target object based on a sum of the detection signals.

A method of compensation in a light detection and ranging (LIDAR) system. The method includes generating a digitally-sampled target signal. The method also includes compensating for ego-velocity and target velocity in the digitally-sampled target signal based on an estimated ego-velocity and an estimated target velocity to produce a compensated digitally-sampled target signal.

A 3D image-capturing device that includes at least one camera that acquires a 2D image and distance information of an object, a monitor that displays the 2D image acquired by the camera, and at least one processor including hardware. The processor acquires a first area for which the distance information is not required in the 2D image displayed on the monitor, and sets an image-capturing condition so that the amount of distance information acquired by the camera in the acquired first area is less than or equal to a prescribed first threshold and the amount of distance information acquired by the camera in a second area, which is at least part of an area other than the first area, is greater than a prescribed second threshold that is larger than the first threshold.

A method for operating a laser unit as a function of a detected state of an object. The method includes: outputting a light beam having a light beam intensity, using the laser unit, during a first time period and a second time period; receiving at least one reflected partial beam having a partial beam intensity during the first and second time periods; making the light beam and the partial beam interfere with each other in the first and second time periods to obtain a first interference parameter for the first time period and a second interference parameter for the second time period; ascertaining the state of the object; changing an operating state of the laser unit as a function of the ascertained state of the object.

A method for operating a laser unit as a function of a detected state of an object. The method includes: outputting a light beam having a light beam intensity, using the laser unit, during a first time period and a second time period; receiving at least one reflected partial beam having a partial beam intensity during the first and second time periods; making the light beam and the partial beam interfere with each other in the first and second time periods to obtain a first interference parameter for the first time period and a second interference parameter for the second time period; ascertaining the state of the object; changing an operating state of the laser unit as a function of the ascertained state of the object.

In systems and methods for communicating an anomaly notification message to a wireless communication network, a wireless device may generate an anomaly notification message comprising an anomaly notification object in response to determining that the received information satisfies one or more threshold criteria indicative of the anomaly condition, configure the anomaly notification message with a transport layer anomaly code, and send sending the configured anomaly notification message via an anomaly-specific network communication link to a wireless communication network. A communication network device may receive the anomaly notification message, and in response to determining that the anomaly notification message was received via the anomaly-specific network communication link may associate the anomaly notification message with an anomaly priority that is higher than a normal traffic priority.