Maucher Jenkins

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.

Befestigungsvorrichtung zur Befestigung von Schläuchen (6) an einer Kartusche (1) einer Sanitärarmatur, wobei ein Grundkörper (2) zwei Zulauföffnungen (3) und eine Ablauföffnung (4) jeweils zum Einführen eines Schlauchverbinders (5) aufweist, dadurch gekennzeichnet, dass ein Sicherungsstift (10) von außen in den Grundkörper (2) einsetzbar ist, wobei der Sicherungsstift (10) in die Ablauföffnung (4) und in die beiden Zulauföffnungen (3) eingreift, um dort eine Sicherung eingesetzter Schläuche (6) zu ermöglichen und dass die Befestigungsvorrichtung eine Auszugssicherung umfasst, die den Sicherungsstift (10) in dem Grundkörper (2) hält. (Fig. 4)

In various embodiments, a method includes receiving an audio signal from a microphone system associated with a vehicle, receiving a video signal from a camera system associated with the vehicle, identify a facial classification model for classifying one or more facial makers in the video signal, determining that an occupant of the vehicle is speaking using the facial classification model, and generating an isolated audio signal corresponding to a speech signal in the audio signal using the facial classification model.

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.

In at least one embodiment, an audio system is provided. The audio system includes one or more microphones and at least one controller. The one or more microphones are positioned within a listening space to provide a captured audio input signal. The at least one controller is programmed to receive the captured audio input signal and to receive a first signal indicative of an audio level in the listening space. The at least one controller determines a gain amount based on the audio level and to adjusts the captured audio input signal.

In various embodiments, a computer-implemented method comprises determining, by a voice recognition system included in a vehicle, a mask type of a mask worn by an occupant of the vehicle, acquiring a compensation curve corresponding to the mask type, acquiring an audio signal of the occupant speaking, and applying the compensation curve to the audio signal to generate a compensated audio signal.

In at least one embodiment, a feedback amplifier is provided. The amplifier includes an input stage circuit (206) and a collector element (208). The input stage circuit (206) is configured to receive at least one input feedback signal having wide band frequency components that include high frequency components and low frequency components. The input stage circuit (206) includes a first gain stage (220), a filter, and a second gain stage (222). The first gain stage (220) amplifies the at least one input feedback signal to generate at least one amplified output signal. The filter filters the wide band frequency components on the at least one input feedback signal to generate at least one filtered feedback signal having a first low frequency component. The second gain stage (222) amplifies the at least one filtered feedback signal having the first low frequency component and to provide at least one gain output signal.

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.

A distance measurement method, applied to a data processing module coupled to a receiving module, includes: determining a plurality of received data based on an echo signal received by the receiving module, wherein the echo signal is reflected by a target object after a transmitting module emits a laser pulse toward the target object, and the received data are derived from an electrical signal output by the receiving module in response to the echo signal; organizing the received data into N data groups, each group comprising at least one received data, with at least two groups sharing partially identical received data, where N is an integer greater than or equal to 2; and computing a distance measurement result for each data group based on its respective received data. This method enhances distance measurement capability without requiring changes to radar hardware configuration.

In at least one embodiment, an emulator system including at least one first audio controller is provided. The at least one first audio controller includes a primary field programmable gate array (FPGA), a universal audio network interface sub-board and a secondary FPGA. The primary FPGA is programmed to one of transmit and receive at least one audio signal in a vehicle. The universal audio network interface sub-board is operably coupled to the primary FPGA and is programmed to one or more of transmit or receive the at least one audio signal in accordance with one or more audio network interfaces. The secondary FPGA includes a first communication block that is programmed to enable the primary FPGA to one of transmit or receive the at least one audio signal in accordance with the one or more audio network interfaces to or from the universal audio network interface.