Suteng Innovation Technology (RoboSense)

The present application provides a signal receiving apparatus, including: a photosensitive array; a data selection module, connected to the photosensitive array, configured to determine target pixels for outputting sampled data in each scan according to a current scanning mode of the radar system, and transmit the sampled data output by the target pixels to an operation processing module; and the operation processing module, connected to the data selection module, configured to process and compute the sampled data output by the target pixels to obtain pixel detection results corresponding to the target pixels. By arranging pixels differently in the photosensitive array under different scanning modes, point clouds obtained through multiple scans can meet requirements such as equal-resolution distribution, high-resolution detection in specified regions, and high detection performance in specified regions. This achieves improved resolution in specified regions, enhanced ranging capability and detection rate in specified regions, while using less computational resources.

The first receiving lens is used to receive an echo light and output, so that the echo light is directed to the first receiving plate, and the echo light is formed by reflection of the detection laser from the target object; the camera module is mounted on the housing, and the camera module is used to acquire an image; the first predetermined direction is parallel to the optical axis of the transmitting lens. The detection device in this application makes the LiDAR function module and the vision function module integrated together, and the occupied space of the movable equipment can be relatively small, which is conducive to meeting the demand for miniaturisation of the movable equipment.

A motor module and a LiDAR are provided. The motor module includes a stator assembly, a rotor assembly, and a support body. The stator assembly includes a housing and a stator winding mounted inside the housing. The rotor assembly includes a rotating shaft and a magnetic core, wherein the magnetic core is fixedly sleeved on the rotating shaft, and the magnetic core is surrounded by the stator winding. One end of the rotating shaft is disposed inside the housing, and the other end of the rotating shaft is fixedly connected to the support body. The housing includes a first limiting portion and a second limiting portion, wherein the support body rotates between the first limiting portion and the second limiting portion driven by the rotating shaft.

A chip module includes a packaging substrate, a system-on-chip disposed on a surface of the packaging substrate, a laser emission chip disposed on the system-on-chip and configured to emit laser signals, and at least two receiving chips disposed on the system-on-chip. The receiving chips include a first receiving chip configured to receive echo laser signals and a second receiving chip configured to receive visible light signals. A cover is disposed on the packaging substrate, wherein the cover and the packaging substrate jointly enclose to form an installation cavity, the system-on-chip, the laser emission chip, the first receiving chip, and the second receiving chip are all located within the installation cavity. The cover is provided with a first region for laser signals to pass through, a second region for echo laser signals to pass through, and a third region for visible light signals to pass through.

A single-photon avalanche diode array, a receiving sensor and a LiDAR are provided, wherein at least two SPAD units are arranged in an array, a micro lens converges the incident light onto the corresponding SPAD unit, a back metal grid connects the SPAD unit with the corresponding external electrode, a first dielectric layer is arranged between the micro lens and the SPAD unit, a second dielectric layer is arranged between the SPAD unit and a front metal wiring layer, and the front metal wiring layer is electrically connected to the corresponding SPAD unit through a contact metal wire. By arranging deep groove separation columns between adjacent SPAD units, thereby reducing the probability of photon crosstalk and reducing the optical crosstalk of the device.

The present application provides an echo signal processing method. The method includes: acquiring single histograms obtained from at least two scans; acquiring a superimposed histogram according to the single histograms; respectively extracting echo information of the superimposed histogram and echo information of target single histograms; calculating an echo similarity of each echo in the superimposed histogram and an echo similarity of corresponding echoes between the target single histograms according to the echo information of the superimposed histogram and the echo information of the target single histograms; determining an echo confidence level of each echo in the superimposed histogram according to the echo similarity of the echoes in the superimposed histogram and the echo similarity between the target single histograms; and identifying a valid echo according to the echo confidence level of the echo. This improves the identification accuracy of a radar system for noise signals and crosstalk echoes.

An emission module (1) includes a carrier board (11) and a light-emitting module (12) having a first subgroup (12A) and a second subgroup (12B). The first subgroup comprises at least two first emission units (121), at least one first drive unit (122), and at least one first energy storage unit (123). The first drive unit drives the at least two first emission units to emit laser light using energy stored in the first energy storage unit. The second subgroup comprises at least two second emission units (124), at least one second drive unit (125), and at least one second energy storage unit (126). The second drive unit drives the at least two second emission units to emit laser light using energy stored in the second energy storage unit. The first emission units and the second emission units are arranged in a staggered manner along a second direction. A single drive unit concurrently drives multiple emission units, compressing the light-emitting module's volume.

A LiDAR and an autonomous driving device are provided. The LiDAR includes a transceiver module and a rotating mirror. The transceiver module includes a transmitting unit, a receiving unit, a first housing, a second housing, and a plane mirror. The first housing includes a receiving cylinder and a transmitting cylinder. The second housing includes a first sub-housing and a second sub-housing. The transmitting cylinder and the first sub-housing form a transmitting channel, and the receiving cylinder and the second sub-housing form a receiving channel. The first sub-housing includes a first opening. The second sub-housing includes a second opening and a first boss. The plane mirror is fixed to the first opening, and the first boss extends from a first end of the second opening to a second end of the second opening.

A distance and reflectivity measurement method, apparatus, storage medium, and lidar are disclosed. The lidar acquires an echo signal from light reflected by a target object. A distance threshold measures the echo signal to determine the target's distance relative to the lidar. A reflectivity threshold, higher than the distance threshold, measures the echo signal to determine the target's reflectivity. Using separate thresholds, with the reflectivity threshold being higher, provides high accuracy for distance measurement and high differentiation for reflectivity measurement, improving the overall accuracy of calculating both distance and reflectivity for the target object.

An azimuth angle calibration method for a LiDAR, an azimuth angle calibration apparatus, and a LiDAR are disclosed. The method includes acquiring calibration point cloud data comprising at least one frame of point cloud data from the LiDAR. A measured azimuth angle is determined based on the calibration point cloud data, where the measured azimuth angle corresponds to a calibration zone. A compensation coefficient is calculated using the measured azimuth angle and a preset angle value. Angle compensation is then applied to azimuth angle information of detection point cloud data based on the compensation coefficient, wherein the detection point cloud data is generated during LiDAR operation. This method improves control accuracy in LiDAR scanning processes by compensating for directional angle errors.