Abstract: According to an embodiment, a time-of-flight sensor system includes a light emitter, a detector array, and a histogram processing circuit. The histogram processing circuit processes time-of-flight measurement data using sequential bin-by-bin histogram processing. This approach enables efficient processing with minimal memory requirements, suitable for low-power applications. The circuit applies on-the-fly operations during processing, including crosstalk removal and peak detection. A correlator circuit within the system uses multiply-accumulate (MAC) circuits to calculate ambient light contribution, perform main correlation, and compute crosstalk contribution in a bin-serial manner. Additionally, a phase/bin computation circuit applies filter coefficients to preprocessed histogram data and detects positive zero crossings to calculate the median phase.

Abstract: A method can be used to detect the presence an object within a field of view of a time-of-flight sensor. A histogram generated by the time-of-flight sensor is obtained. The histogram includes a number of bins associating a number of detected photons to a given acquisition time. A portion of the bins of the histogram is transformed into points in a transformed domain that features a first area containing only points associated to bins representative of the presence of the object and a second area having only points associated to bins not representative of the presence of the object. The bins of the histogram representative of the presence of the object are identified from the points located in the first area.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method can be used to detect the presence an object within a field of view of a time-of-flight sensor. A histogram generated by the time-of-flight sensor is obtained. The histogram includes a number of bins associating a number of detected photons to a given acquisition time. A portion of the bins of the histogram is transformed into points in a transformed domain that features a first area containing only points associated to bins representative of the presence of the object and a second area having only points associated to bins not representative of the presence of the object. The bins of the histogram representative of the presence of the object are identified from the points located in the first area.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: An example device has optical emitters for emitting incident radiation within a field of view and optical detectors for receiving reflected radiation. Based on the incident radiation and the reflected radiation, a histogram indicative of a number of photon events that are detected by the optical detectors over time bins is generated. The time bins is indicative of time differences between emission of the incident radiation and reception of the reflected radiation. The device further includes; a processor programmed to iteratively process the histogram by executing an expectation-maximization algorithm to detect a presence of objects located in the field of view of the device.

Abstract: An embodiment device includes: a plurality of optical emitters configured to emit incident radiation within a field of view of the device; a plurality of optical detectors configured to receive reflected radiation and to generate a histogram based on the incident radiation and the reflected radiation, the histogram being indicative of a number of photon events detected by the plurality of optical detectors over a plurality of time bins, the plurality of time bins being indicative of a plurality of time differences between emission of the incident radiation and reception of the reflected radiation; and a processor configured to iteratively process the histogram by executing an expectation-maximization algorithm to detect a presence of objects located in the field of view of the device.

Abstract: A range detector device may include a pulsed light source configured to emit pulsed light to an object, a detector configured to receive reflected pulsed light from the object, and a processor cooperating with the pulsed light source and the detector. The processor may be configured to generate a measured range value to the object, and generate an estimated statistical value for a spread of possible range values based upon a characteristic of the pulsed light source.

Abstract: A method includes receiving a histogram output from a detector sensor, and calculating a median point of a pulse waveform within the histogram. The pulse waveform has an even probability distribution over at least one quantization step of the histogram around the median point. A corresponding apparatus can include a detector sensor and a co-processor coupled to the detector sensor.

Abstract: A circuit may include a first circuit configured to generate a voltage signal for generating an optical pulse, the voltage signal being generated based on a phase control signal, and an array of single photon avalanche diode (SPAD) cells configured to detect a phase of the optical pulse. The circuit may include a phase control circuit configured to generate the phase control signal based upon a target phase value and the detected phase of the optical pulse.