This application discloses a compensation method and apparatus for continuous wave ranging and a LiDAR. The compensation method includes: calculating a reflectivity of an object detected by a receiving unit, querying, based on a preset mapping relation, for a target distance response non-uniformity (DRNU) calibration compensation matrix associated with the reflectivity, and compensating, using the target DRNU calibration compensation matrix, for a distance of the object detected by the receiving unit.

A method for detecting lost image information via a lighting device and an optical sensor. The lighting device and the optical sensor are controlled so as to be chronologically aligned with each other. A visible spacing region in an observation region of the optical sensor is determined from the chronological alignment of the control of the lighting device and the optical sensor. A recording of the observation region with the optical sensor is generated via the aligned control. Image information is identified in the recording in regions outside of the spacing region visible in the image, so as to make the identified image information accessible.

An object of the present invention is to provide an object sensing device that classifies an observation point group output by a LiDAR into a real image and a mirror image when a road surface around an own vehicle is wet, and can use the mirror image for detecting the real image. An object sensing device that detects an object around a vehicle based on a point cloud data of an observation point observed by a LiDAR mounted on the vehicle includes: a road surface shape estimation unit that estimates a shape of a road surface; a road surface condition estimation unit that estimates a dry/wet situation of the road surface; and an observation point determination unit that determines a low observation point observed at a position lower than the estimated road surface by a predetermined amount or more when the road surface is estimated to be in a wet situation. The object is detected by using point cloud data of the observation points other than the low observation point and point cloud data of an inverted observation point obtained by inverting the low observation point with reference to a height of the road surface.

There is provided an optical distance measurement device including a processor embedded with a first algorithm and a second algorithm. The first algorithm is used to calculate an object depth when an obstacle is distanced from the distance measurement device smaller than a predetermined distance. The second algorithm is used to calculate an object depth when the obstacle is distanced from the distance measurement device larger than the predetermined distance.

The subject matter of this specification can be implemented in, among other things, systems and methods that enable lidar devices capable of detecting and processing multiple optical modes present in a beam reflected from a target object. Different received optical modes can be spatially separated and electronic signals can be generated that are representative of a coherence information contained in various optical modes. Multiple generated electronic signals can be amplified, phase-shifted, mixed, etc., to identify signals, individually or in a combination, that can be used for identification of a range and velocity of the target object with the highest accuracy.

A detection device includes: a detector that detects an object from a first viewpoint; an information calculator that calculates first model information including shape information on the object from the first viewpoint by using detection results of the detector; a light source calculator that calculates light source information on the light source by using a first taken image obtained by imaging a space including a light source that irradiates the object with illumination light and including the object; and a position calculator that calculates a positional relation between the first viewpoint and the object by using the light source information as information used to integrate the first model information and second model information including shape information obtained by detecting the object from a second viewpoint different from the first viewpoint.

Disclosed is a system including: a beam projector module comprising a light source and an optical device configured to diffuse light output from the light source to reduce an intensity of the light; an image sensor configured to receive reflected light formed by the light reflected from an object; and a signal processing device configured to measure a distance from the object by analyzing a characteristic of the reflected light, wherein the signal processing device operates the beam projector module in an eye-safety mode when the characteristic of the reflected light corresponds to a crack characteristic.

A positioning system includes a storage device, a lidar and a controller. The storage device stores a global map. The lidar generates an initial local map. The controller rotates the initial local map to generate a rotated local map, compares the rotated local map and the initial local map separately with a plurality of partial areas of the global map, so as to obtain at least one similar area, calculates at least one candidate coordinates for a mobile device on the global map according to the center point of each of the similar areas, and calculates similarity scores according to each of the candidate coordinates, and selects the candidate coordinates having highest similarity score for use as coordinate of the mobile device on the global map.

A method for scanning a transmitted beam through a 360° FOV in a LIDAR system using no moving parts. The method includes directing a laser beam at a first frequency to an SPPR device and directing the laser beam from the SPPR device onto a conical mirror to direct the laser beam at a certain angle therefrom depending on the first frequency of the laser beam. The method further includes shifting the optical frequency of the laser beam to a second frequency to change the angle that the transmitted beam is directed from the conical mirror and intensity modulating the laser beam at the second frequency using a first intensity modulation frequency for a predetermined period of time. The method further includes receiving a reflected beam from the target and estimating a round trip time of the transmitted beam and the reflected beam using the modulation of the laser beam.

The present invention is directed to lidar systems and methods thereof. More specifically, a lidar receiver converts received light signal to electrical signal. The electrical signal is converted to digital signal. Fast Fourier transform is performed on the digital signal to generate n channels of data. Constant false alarm rate detection is performed to generate n data sets, which is grouped into m clusters of data. Maximum likelihood detection is performed on the m clusters of data.