Time-of-flight laser control for electronic devices. In one implementation, an electronic device includes a memory, a time-of-flight (TOF) sensor system including a TOF sensor, and a laser, and an electronic processor. The electronic processor is configured to control the laser to emit initial light pulses above a threshold emission level for a predetermined period of time, receive the depth information based on the initial light pulses emitted by the laser, determine whether a living object is in a nominal hazard zone of the laser based on the depth information, responsive to determining that the living object is not in the nominal hazard zone of the laser, control the laser to emit additional light pulses above the threshold emission level, wherein the laser has a specific laser classification, and wherein the threshold emission level is above an ANSI Z136.1 specification threshold emission level for the specific laser classification.

Provided herein is a method, apparatus, and computer program product for identifying locations along a road segment as a tunnel based on point cloud data. Methods may include: receiving point cloud data representative of an environment of a trajectory along a road segment; generating, from the point cloud data, one or more two-dimensional images in one or more corresponding planes orthogonal to the trajectory; determining, for the one or more two-dimensional images, a probability as to whether a respective two-dimensional image is captured within a tunnel along the road segment; and classifying a point along the road segment at a position corresponding to a respective one of the one or more two-dimensional images as a tunnel point in response to the probability as to whether the respective two-dimensional image is captured within a tunnel along the road segment satisfying a predetermined value.

A light detection and ranging system can have a spectral module connected to a light emitter and a detector as part of an optical sensor. The spectral module can be configured to adjust from a first wavelength of light to a second wavelength of light to classify a downrange target. The spectral module can customize a ratio of wavelengths over time to filter false positives in a field of view.

The present disclosure relates to an apparatus (100) for passive scanning of an object. The apparatus comprises a distance sensing unit (110) adapted to measure distances to a plurality of points of the object, an orientation sensing unit (120) adapted to determine orientations of the distance sensing unit (110), and a processor (140) adapted to derive information about the object or a scene in which the object is used based on the measured distances and orientations of the distance sensing unit (110).

A frequency shift correcting unit (25) which corrects a frequency shift of a plurality of first signal spectra within the same time range with respect to a frequency of first laser light beam and corrects a frequency shift of a plurality of second signal spectra within the same time range with respect to a frequency of second laser light beam, and a spectrum integrating unit (26) which integrates a plurality of first signal spectra corrected by the frequency shift correcting unit (25) and integrates a plurality of second signal spectra corrected by the frequency shift correcting unit (25) are provided, and a molecular concentration calculating unit (27) calculates a concentration of molecules in the atmosphere from the first and second signal spectra integrated by the spectrum calculating unit (26).

Methods and systems for modelling pipeline construction, include or implement steps of (a) obtaining ranging data of a pipeline construction location including a pipe; (b) processing the ranging data to produce a spatially organized point cloud; and (c) processing the point cloud to identify at least one geometric feature comprising a point or a two-dimensional feature representative of a pipe centreline, and associating the at least one geometric feature with the pipeline construction location. The ranging data may be data obtained from a lidar device. The pipeline construction may be underground construction, where pipe is laid in a ditch. Relevant information, such as depth-of-cover may be calculated from identified geometric features. Relevant information may be determined in real-time or near-real-time and displayed, communicated or recorded as desired.

An information processing system includes an irradiation unit configured to irradiate a deposited material with electromagnetic waves, a detection unit configured to detect scattered waves or transmitted waves of the electromagnetic waves with which the deposited material has been irradiated by the irradiation unit, and a determination unit configured to determine a state of the deposited material from an image based on the scattered waves or the transmitted waves detected by the detection unit.

Provided is an aircraft docking guidance system using a three-dimensional (3D) laser scanner, including a laser scanner configured to acquire data related to aircraft docking guidance and docking control; a database configured to store information related to specifications and characteristics of each aircraft type that is a target of the aircraft docking guidance and docking control using the laser scanner; a communicator configured to transmit and receive information between the laser scanner and the database; and a data analysis decision algorithm processing unit configured to determine information of an object by comparing image information acquired through the laser scanner and information stored in the database.

Computing devices, such as mobile computing devices, have access to one or more image sensors that can capture images and video with multiple subjects. Some of these subjects may vary in priority for various tasks. It may be desired to increase or decrease the compression on each subject in order to more efficiently store the image data. Low-power, fast-response machine learning logic can be configured to allow for the generation of a plurality of inference data. Inference data can be associated with the type, motion and/or priority of the subjects as desired. This inference data can be utilized along with other subject data to generate one or more variable compression regions within the image data. The image data can be subsequently processed to compress different areas of the image based on a desired application. The variably compressed image can reduce file sizes and allow for more efficient storage and processing.

Techniques for realizing compound semiconductor (CS) optoelectronic devices on silicon (Si) substrates for vehicle applications are disclosed. The integration platform is based on heteroepitaxy of CS materials and device structures on Si by direct heteroepitaxy on planar Si substrates or by selective area heteroepitaxy on dielectric patterned Si substrates. Following deposition of the CS device structures, device fabrication steps can be carried out using Si complimentary metal-oxide semiconductor (CMOS) fabrication techniques to enable large-volume manufacturing. The integration platform can enable manufacturing of optoelectronic devices including photodetector arrays for image sensors and vertical cavity surface emitting laser arrays. Such devices can be used in various applications including light detection and ranging (LIDAR) systems for vehicle apparatuses such as automobiles, boats, airplanes, and drones, and for other perception applications such as industrial vision, artificial intelligence (AI), augmented reality (AR) and virtual reality (VR).