G01S17/00

LIGHT-EMITTING DEVICE, OPTICAL DEVICE, AND INFORMATION PROCESSING DEVICE

A light-emitting device includes a wiring substrate, a base member provided on the wiring substrate, a light-emitting element array that has a first side surface and a second side surface facing each other, that has a third side surface and a fourth side surface facing each other and connecting the first side surface and the second side surface, and that is provided on the base member, a drive unit that is provided on the wiring substrate at a side of the first side surface and drives the light-emitting element array, a first circuit element that is provided on the base member at the side of the first side surface, a second circuit element that is provided on the base member at a side of the second side surface and has a larger occupation area on the base member than the first circuit element, and wiring members that are provided at a side of the third side surface and at a side of the fourth side surface and extend from an upper surface electrode of the light-emitting element array toward an outer side of the light-emitting element array.

Multi-line, high-definition LiDAR device and method with integrated direct spatial reference
11150349 · 2021-10-19 ·

The present disclosure relates to a FMCW Light Detection and Ranging system, a wave train of carrier frequency is modulated in narrow-band sequence, an delay interferometer with in-phase and quadrature outputs extracts the phase of this frequency modulation, and a coherent receiver with in-phase and quadrature outputs detects the phase of reflected light from a remote object, the ratio between two phases determines the distance of the remote object.

Laser radar system

In conventional laser radar systems, the wind velocity measurement accuracy cannot be improved without changing their time gate widths, which is a problem. A laser radar system according to the present invention includes: an optical oscillator to perform laser light oscillation; an optical modulator to modulate the laser light by oscillation of the optical oscillator; an optical antenna to emit the laser light modulated by the optical modulator into the atmosphere and to receive scattered light from an irradiated target as reception light; an optical receiver to perform heterodyne detection on the reception light received by the optical antenna; and a signal processor to calculate a spectrum of a reception signal obtained by the optical receiver's performing heterodyne detection, to decompose the spectrum using signal-to-noise ratios, and to calculate a velocity of an irradiated target from a decomposed spectrum.

LiDAR device and method of operating the same

Provided are a LiDAR device and a method of operating the LiDAR device. The LiDAR device includes a light-emitting unit configured to emit modulated light onto an object, a light-receiving unit configured to receive the modulated light reflected by the object, a computation unit configured to calculate a distance to the object based on a reception signal of the modulated light provided by the light-receiving unit, a modulation unit configured to provide a modulation signal to the light-emitting unit to generate the modulated light, and a controller configured to control operations of at least one of the light-emitting unit, the light-receiving unit, the computation unit, and the modulation unit.

Accurate photo detector measurements for LIDAR
11105925 · 2021-08-31 · ·

A light ranging system can include a laser device and an imaging device having photosensors. The laser device illuminates a scene with laser pulse radiation that reflects off of objects in the scene. The reflections can vary greatly depending on the reflecting surface shape and reflectivity. The signal measured by photosensors can be filtered with a number of matched filter designed according to profiles of different reflected signals. A best matched filter can be identified, and hence information about the reflecting surface and accurate ranging information can be obtained. The laser pulse radiation can be emitted in coded pulses by allowing weights to different detection intervals. Other enhancements include staggering laser pulses and changing an operational status of photodetectors of a pixel sensor, as well as efficient signal processing using a sensor chip that includes processing circuits and photosensors.

Laser diode optical frequency modulation linearization algorithm

A lidar system includes a laser diode to provide a frequency modulated continuous wave (FMCW) signal, and a current source to provide a drive signal that modulates the laser diode. The current source is controlled to pre-distort the drive signal to provide a linear FMCW signal. The lidar system also includes a splitter to split the FMCW signal into an output signal and a local oscillator (LO) signal, a transmit coupler to transmit the output signal, a receive coupler to obtain a received signal based on reflection of the output signal by a target, and a combiner to combine the received signal with the LO signal into first and second combined signals. A first and second photodetector respectively receive the first and second combined signals and output first and second electrical signals from which a beat signal that indicates the pre-distortion needed for the drive signal is obtained.

Heterogeneously integrated chip-scale lidar system

A lidar system includes a photonic chip including a light source and a transmit beam coupler to provide an output signal for transmission. The output signal is a frequency modulated continuous wave (FMCW) signal. A transmit beam steering device transmits the output signal from the transmit beam coupler of the photonic chip. A receive beam steering device obtains a reflection of the output signal by a target and provides the reflection as a received signal to a receive beam coupler of the photonic chip. The photonic chip, the transmit beam steering device, and the receive beam steering device are heterogeneously integrated into an optical engine.

Locating method and device, storage medium, and electronic device

Provided are a locating method and device, a storage medium and an electronic device. The method includes: respectively determining first locating information indicated by a first locating image under a predetermined coordinate system and second locating information indicated by a second locating image under the predetermined coordinate system, wherein the first locating image and the second locating image are locating images acquired in a same scenario in different ways; combining the first locating information and the second locating information to acquire third locating information; locating based on the third locating information.

Stereo depth estimation using deep neural networks

Various examples of the present disclosure include a stereoscopic deep neural network (DNN) that produces accurate and reliable results in real-time. Both LIDAR data (supervised training) and photometric error (unsupervised training) may be used to train the DNN in a semi-supervised manner. The stereoscopic DNN may use an exponential linear unit (ELU) activation function to increase processing speeds, as well as a machine learned argmax function that may include a plurality of convolutional layers having trainable parameters to account for context. The stereoscopic DNN may further include layers having an encoder/decoder architecture, where the encoder portion of the layers may include a combination of three-dimensional convolutional layers followed by two-dimensional convolutional layers.

System and method for calibrating a LIDAR and a camera together using semantic segmentation

System, methods, and other embodiments described herein relate to calibrating a light detection and ranging (LiDAR) sensor with a camera sensor. In one embodiment, a method includes controlling i) the LiDAR sensor to acquire point cloud data, and ii) the camera sensor to acquire an image. The point cloud data and the image at least partially overlap in relation to a field of view of a surrounding environment. The method includes projecting the point cloud data into the image to form a combined image. The method includes adjusting sensor parameters of the LiDAR sensor and the camera sensor according to the combined image to calibrate the LiDAR sensor and the camera sensor together.