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 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.

A system and method for providing online multi-LiDAR dynamic occupancy mapping that include receiving LiDAR data from each of a plurality of LiDAR sensors. The system and method also include processing a region of interest grid to compute a static occupancy map of a surrounding environment of the ego vehicle and processing a dynamic occupancy map. The system and method further include controlling the ego vehicle to be operated based on the dynamic occupancy map.

This disclosure is directed to calibrating sensors mounted on an autonomous vehicle. A dense depth map can be generated in a two-dimensional camera space using point cloud data generated by one of the sensors. Image data from another of the sensors can be compared to the dense depth map in the two-dimensional camera space. Differences determined by the comparison can indicate alignment errors between the sensors. Calibration data associated with the errors can be determined and used to calibrate the sensors without the need for calibration infrastructure.

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.

A detector (110, 1110, 2110) for determining a position of at least one object (112) is proposed. The detector (110, 1110, 2110) comprises: at least one transfer device (128, 1128), wherein the transfer device (128, 1128) has at least one focal length in response to at least one incident light beam (116, 1116) propagating from the object (112, 1112) to the detector (110, 1110, 2110); at least two optical sensors (113, 1118, 1120), wherein each optical sensor (113, 1118, 1120) has at least one light sensitive area (121, 1122, 1124), wherein each optical sensor (113, 1118, 1120) is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by the light beam (116, 1116), at least one evaluation device (132, 1132) being configured for determining at least one longitudinal coordinate z of the object (112, 1112) by evaluating a quotient signal Q from the sensor signals. The detector is adapted to determine the longitudinal coordinate z of the object in at least one measurement range independent from the object size in an object plane.

A sensor system with a plurality of sensors or sensor functions is provided. The sensors can include an event detection sensor, a time of flight sensor, and imaging sensor. The different sensors can be implemented on the same or different substrates. Accordingly, sensors with pixels having different or shared functions can be included in the sensor system. In operation, an event detection signal from an event detection sensor causes the operation of a time of flight sensor to be initiated. In response to the detection of an object within a critical range by the time of flight sensor, the imaging sensor is activated. The image sensing and event detection pixels can be provided as part of different arrays of pixels, or can be included within a common array of pixels.

Embodiments of the present disclosure disclose a data acquisition device, a data correction method and apparatus, and an electronic device. The data acquisition device includes: a rotation component, a first ranging component, and an image acquisition component. The rotation component is configured to drive the data acquisition device to rotate in a first direction. The first ranging component is configured to rotate in the first direction along with the data acquisition device, to rotate in a second direction, and to measure first ranging data. The first direction is different from the second direction. The image acquisition component is configured to rotate in the first direction along with the data acquisition device, and to acquire image data in a three-dimensional scene.