A vehicle, Lidar system and method of detecting an object is disclosed. The Lidar system includes a photonic chip having an aperture, one or more photodetectors and a circulator. A transmitted light beam generated within the photonic chip exits the photonic chip via the aperture and a reflected light beam enters the photonic chip via the aperture, the reflected light beam being a reflection of the transmitted light beam from the object. The one or more photodetectors measure the parameter of the object from at least the reflected light beam. The circulator integrated into the photonic chip directs the transmitted light beam toward the aperture and directs the reflected light beam from the aperture to the one or more photodetectors. A navigation system navigates the vehicle with respect to the object based on the parameter of the object.

An electronic device and a background noise calibration method are provided. The electronic device includes a display screen; a transmitter, disposed on a non-display side of the display screen, and configured to transmit a first optical signal and a second optical signal to the display screen, where transmittance of the first optical signal passing through the display screen is greater than that of the second optical signal passing through the display screen; a receiver, disposed on the non-display side of the display screen, and configured to receive the first optical signal and the second optical signal; and a processor, connected to the receiver, and configured to determine a calibration coefficient according to the second optical signal received by the receiver and a second reference background noise, and determine a calibrated first reference background noise according to the calibration coefficient and a first reference background noise.

An electronic device and a background noise calibration method are provided. The electronic device includes a display screen; a transmitter, disposed on a non-display side of the display screen, and configured to transmit a first optical signal and a second optical signal to the display screen, where transmittance of the first optical signal passing through the display screen is greater than that of the second optical signal passing through the display screen; a receiver, disposed on the non-display side of the display screen, and configured to receive the first optical signal and the second optical signal; and a processor, connected to the receiver, and configured to determine a calibration coefficient according to the second optical signal received by the receiver and a second reference background noise, and determine a calibrated first reference background noise according to the calibration coefficient and a first reference background noise.

Doppler lidar for detecting wind speeds, comprising a device (MO) for generating pulsed coherent laser light on N wavelength channels, amplitude modulation (AM) being performed separately for each individual wavelength channel for shaping the pulse individually for each channel, a device (TK, SC) for transmitting generated, frequency-shifted and amplified pulses of the laser light in predetermined spatial directions, a detector (n×Det.) for receiving the generated and the backscattered laser light on N wavelength channels, and an electronic evaluation device (n×SV) for determining a Doppler shift amount between the transmitted light and the received light on N wavelength channels, wherein a timing modulator (TM) is assigned to the N wavelength channels for individual control of a pulse repetition frequency (PRF) and/or pulse repetition period (PRT) in addition to the pulse shape for wavelength channels.

Doppler lidar for detecting wind speeds, comprising a device (MO) for generating pulsed coherent laser light on N wavelength channels, amplitude modulation (AM) being performed separately for each individual wavelength channel for shaping the pulse individually for each channel, a device (TK, SC) for transmitting generated, frequency-shifted and amplified pulses of the laser light in predetermined spatial directions, a detector (n×Det.) for receiving the generated and the backscattered laser light on N wavelength channels, and an electronic evaluation device (n×SV) for determining a Doppler shift amount between the transmitted light and the received light on N wavelength channels, wherein a timing modulator (TM) is assigned to the N wavelength channels for individual control of a pulse repetition frequency (PRF) and/or pulse repetition period (PRT) in addition to the pulse shape for wavelength channels.

A time-of-flight (TOF) camera device including an optical transmitter configured to transmit light to a subject, an optical receiver configured to receive light reflected from the subject, and an actuator configured to adjust either one or both of an optical scanning direction and field of luminance (FOL) of the optical transmitter.

A time-of-flight (TOF) camera device including an optical transmitter configured to transmit light to a subject, an optical receiver configured to receive light reflected from the subject, and an actuator configured to adjust either one or both of an optical scanning direction and field of luminance (FOL) of the optical transmitter.

Devices, systems, and methods are provided for classifying detected objects as static or dynamic. A device may determine first light detection and ranging (LIDAR) data associated with a convex hull of an object at a first time, and determine second LIDAR data associated with the convex hull at a second time after the first time. The device may generate, based on the first LIDAR data and the second LIDAR data, a vector including values of features associated with the first convex hull and the second convex hull. The device may determine, based on the vector, a probability that the object is static. The device may operate a machine based on the probability that the object is static.

Devices, systems, and methods are provided for classifying detected objects as static or dynamic. A device may determine first light detection and ranging (LIDAR) data associated with a convex hull of an object at a first time, and determine second LIDAR data associated with the convex hull at a second time after the first time. The device may generate, based on the first LIDAR data and the second LIDAR data, a vector including values of features associated with the first convex hull and the second convex hull. The device may determine, based on the vector, a probability that the object is static. The device may operate a machine based on the probability that the object is static.

A method and a system for spatial static map construction are provided. In the method, a three-dimensional space is scanned by using a LiDAR sensor to generate a LiDAR frame including multiple points in the three-dimensional space in a time sequence. As for each point in the LiDAR frame, a corresponding point closest to the point is found from a static map built according to the three-dimensional space, and a distance from the corresponding point is calculated. The point is labelled as a dynamic point if the distance is greater than a threshold, and otherwise labelled as a static point. Each labelled dynamic point is compared with points in N LiDAR frames generated before the time sequence, and corrected as a static point if included in the N LiDAR frames. The dynamic points in the LiDAR frame are removed, and each static point is updated to the static map.