An electro-optical distance meter comprises a light source for emitting a distance measuring light, a distance measuring optical system for leading a distance measuring light to a photodetector, an internal reference optical system for leading a part of the distance measuring light as an internal reference light to the photodetector, and an arithmetic processing unit for performing a distance measurement based on light receiving results of the distance measuring light and the internal reference light, wherein the internal reference optical system comprises a condenser lens, a scattering plate for scattering the internal reference light and for forming a secondary light source, and an optical fiber for leading the internal reference light to the photodetector and the internal reference optical system is constituted in such a manner that a light component of the internal reference light emitted from an arbitrary point within a whole surface of the secondary light source enters the optical fiber.

Aspects of the present disclosure relate to depth sensing using a device. An example device includes a light projector configured to project light in a first and a second distribution. The first and the second distribution include a flood projection when the device operates in a first mode and a pattern projection when the device operates in a second mode, respectively. The example device includes a receiver configured to detect reflections of light projected by the light projector. The example device includes a processor connected to a memory storing instructions. The processor is configured to determine first depth information based on reflections detected by the receiver when the device operates in the first mode, determine second depth information based on reflections detected by the receiver when the device operates in the second mode, and resolve multipath interference (MPI) using the first depth information and the second depth information.

A method generates first points based on a first scan of an environment that includes one or more moving objects. The method transforms the first points into a first static frame, which includes removing one or more of the first points corresponding to the one or more moving objects. The method generates second points based on a second scan of the environment that includes the one or more moving objects. The method transforms the second points into a second static frame, which includes removing one or more of the second points corresponding to the one or more moving objects. The method combines the first static frame and the second static frame into an accumulated static frame, which has an increase in resolution compared with the first static frame. The method then loads the accumulated static frame into a point cloud.

A method generates first points based on a first scan of an environment that includes one or more moving objects. The method transforms the first points into a first static frame, which includes removing one or more of the first points corresponding to the one or more moving objects. The method generates second points based on a second scan of the environment that includes the one or more moving objects. The method transforms the second points into a second static frame, which includes removing one or more of the second points corresponding to the one or more moving objects. The method combines the first static frame and the second static frame into an accumulated static frame, which has an increase in resolution compared with the first static frame. The method then loads the accumulated static frame into a point cloud.

A light detection and ranging (LIDAR) system performs a method including generating a frequency domain waveform based on a baseband electrical signal in a time domain, wherein the frequency domain waveform includes a spectrum of frequencies and determining a likelihood metric for the spectrum of frequencies of the frequency domain waveform. The method further includes in response to one or more parameters associated with the frequency domain waveform satisfying a condition, modifying the likelihood metric for the spectrum of frequencies based on the one or more parameters associated with the frequency domain waveform to generate a modified likelihood metric for the spectrum of frequencies, selecting a peak frequency from the frequency domain waveform corresponding to a frequency with the highest value for the modified likelihood metric, and determining one or more properties of a target based at least in part on the selected peak frequency.

A light detection and ranging (LIDAR) system performs a method including generating a frequency domain waveform based on a baseband electrical signal in a time domain, wherein the frequency domain waveform includes a spectrum of frequencies and determining a likelihood metric for the spectrum of frequencies of the frequency domain waveform. The method further includes in response to one or more parameters associated with the frequency domain waveform satisfying a condition, modifying the likelihood metric for the spectrum of frequencies based on the one or more parameters associated with the frequency domain waveform to generate a modified likelihood metric for the spectrum of frequencies, selecting a peak frequency from the frequency domain waveform corresponding to a frequency with the highest value for the modified likelihood metric, and determining one or more properties of a target based at least in part on the selected peak frequency.

The present disclosure relates to a coherent aperture array system for steering an optical source beam. The system may have a plurality of spaced apart, steerable emitters each being able to be mechanically aimed at a remote target location to steer portions of the source beam toward the target location. Each steerable emitter has a subaperture controllable independently of a remaining reflective surface of its associated steerable emitter, to receive and reflect a subportion of the source beam portion. The subportion forms a sense beam which is reflected toward a phase imaging system. A separate reference beam is created from the portion of the source beam travelling toward each steerable emitter. Each sense beam and each reference beam are thus associated uniquely with one of the steerable emitters. A phase imaging system is responsive to each of the reference beams and the sense beams, and determines phase differences between the portions of the source beam being transmitted from each steerable emitter.

A method for scanning and measuring using a 3D measurement device is provided. The method includes providing the 3D measurement device having a light emitter, a light receiver and a command and evaluation device. The 3D measurement device is further includes a first near-field communication (NFC) device having a first antenna. A second NFC device having a second antenna is positioned adjacent the 3D measurement device. An NFC link is established between the first NFC device and the 3D measurement device. An identifier is transmitted from the second NFC device to the 3D measurement device. It is determined that the second NFC device is authorized to communicate with the 3D measurement device. Commands are transferred to the 3D measurement device from the second NFC device based at least in part on the determination that the second NFC device is authorized to communicate with the 3D measurement device.

A calibration method implemented by a computer, includes: measuring, with a laser ranging sensor, markers attached to at least two predetermined positions of a bed portion of a trampoline and calculating coordinates of the markers in a first coordinate system with a position of the laser ranging sensor being an origin; and calculating a conversion parameter to convert coordinates of respective positions of the first coordinate system into coordinates of respective positions of a second coordinate system with a center position of the bed portion being an origin based on a relationship between the calculated coordinates of the markers and the at least two predetermined positions of the bed portion.

A calibration method implemented by a computer, includes: measuring, with a laser ranging sensor, markers attached to at least two predetermined positions of a bed portion of a trampoline and calculating coordinates of the markers in a first coordinate system with a position of the laser ranging sensor being an origin; and calculating a conversion parameter to convert coordinates of respective positions of the first coordinate system into coordinates of respective positions of a second coordinate system with a center position of the bed portion being an origin based on a relationship between the calculated coordinates of the markers and the at least two predetermined positions of the bed portion.