Abstract: The disclosed LiDAR systems and methods are for object detection. The LiDAR method comprising: i) transmitting a light signal x(t) towards a region of interest (ROI); ii) receiving a reflected light signal and ambient noise signal, the reflected light signal including reflected light pulses reflected from at least one object in the ROI and the ambient noise signal including light signals that are not generated by the light source; iii) detecting one or more photons in the reflected light signal and/or the ambient noise signal and generating a SPAD output signal; iv) converting the SPAD output signal to a digital signal; v) determining a location of the at least one object based on the digital signal; and vi) varying a diameter of an opening defined by the tunable aperture in accordance with the ambient noise signal and operational parameters associated with the LIDAR system.

Abstract: The disclosed LiDAR systems and methods are for object detection. The LiDAR system for object detection comprising: i) a receiver configured to receive a light signal reflected from an object; ii) a digital converter configured to convert the received light signal into a digital signal; iii) a pre-processor configured to pre-process the digital signal based on median filtering and to generate a pre-processed signal corresponding to the digital signal; and iv) a processor configured to analyze the pre-processed signal based on a threshold technique to detect a presence of the object.

Abstract: There is provided a method and device for time-of-flight (TOF) ranging. The method includes generating, by each photon detector in a photon detector array, a quantized current pulse each time a predefined number of photons is detected. The method further includes summing, by a current adder, the quantized current pulses from all photon detectors to create an analog signal pulse. The method further includes providing, by a peak detector, a digital pulse for each instance where an intensity of the analog signal pulse is greater than signal peaks already measured after the last emitted pulsed laser shot. The method further includes measuring and recording, by a time-to-digital converter (TDC), a TOF each time the digital pulse is provided. The method further includes providing, by a TOF output, a single TDC result indicative of a TOF associated with the analog signal pulse having a highest intensity.

Abstract: A sending apparatus, detection system, and detection method of a lidar are configured to exclude a false target from a plurality of targets. Frequency-sweep optical signals with different slopes are introduced, the frequency-sweep slopes of the different frequency-sweep optical signals are opposite in sign in a time period, and absolute values of the frequency-sweep slopes are not equal. For a plurality of real targets, coherent detection is performed in at least two time periods separately corresponding to the different frequency-sweep optical signals.

Abstract: A detection and communication system, a control apparatus, and a detection system are disclosed, and may be applied to fields such as augmented reality AR, virtual reality VR, or vehicle-road synergy. The detection and communication system includes: N radars, configured to: separately search for a target, and separately align with the target, where N is an integer greater than 1, K radars that are in the N radars and that align with the target are configured to communicate with the target, N-K radars other than the K radars are configured to track and point the target, and K is a positive integer less than N. The N radars separately align with the target, to help improve precision of alignment between the radar and the target. In addition, some of the N radars may communicate with the target.

Abstract: The disclosed systems, structures, and methods are directed to an object detection system, employing a receiver configured to receive a signal reflected from an object, an analog-to-digital converter (ADC) configured to convert the received signal into a digital signal, a pre-processor configured to improve a signal-to-noise (SNR) of the digital signal and to generate a pre-processed signal corresponding to the digital signal, a parameter extractor configured to calculate a number of reference cells M and a multiplication factor K0, and a Constant False Alarm Rate (CFAR) processor configured to analyze a cell-under-test (CUT) and M reference cells in accordance with the number of reference cells M and the multiplication factor K0 to detect the presence of the object.

Abstract: The disclosed systems, structures, and methods are directed to an object detection system, employing a receiver configured to receive a signal reflected from an object, an analog-to-digital converter (ADC) configured to convert the received signal into a digital signal, a pre-processor configured to improve a signal-to-noise (SNR) of the digital signal and to generate a pre-processed signal corresponding to the digital signal, a parameter extractor configured to calculate a number of reference cells M and a multiplication factor K0, and a Constant False Alarm Rate (CFAR) processor configured to analyze a cell-under-test (CUT) and M reference cells in accordance with the number of reference cells M and the multiplication factor K0 to detect the presence of the object.