Device, measuring device, distance measuring system, and method

A measuring device, comprising:

• a light source configured to emit light toward a measurement object;
• a light receiving element configured to:
• receive the light reflected from the measurement object;
• and
• output an output signal based on the reception of the reflected light;
• and
• a central processing unit (CPU) configured to:
• convert the output signal into time information, wherein the time information indicates a time range corresponding to a time from the emission of the light by the light source to a time of the reception of the light by the light receiving element;
• acquire first distribution of the time information;
• change, based on the acquired first distribution of the time information, values of a plurality of parameters associated with the light source, wherein
• the plurality of parameters includes at least one of a direction of irradiation by the light source, power of the irradiation by the light source, or a pulse shape of the irradiation by the light source;
• acquire second distribution of the time information based on the changed values of the plurality of parameters of the light source;
• select, based on the acquired second distribution of the time information, a first machine learning model from a plurality of machine learning models;
• recognize, based on the selected first machine learning model, specific information corresponding to a distance to the measurement object, wherein the recognition of the specific information corresponding to the distance to the measurement object is based on the time information;
• acquire a sensing result of a subject space in which the measurement object exists;
• and
• switch, based on the sensing result, from the selected first machine learning model to a second machine learning model of the plurality of machine learning models.

A distance measuring system, comprising:

• a light source configured to emit light toward a measurement object, wherein the measurement object exists in a subject space;
• a light receiving element configured to:
• receive the light reflected from the measurement object;
• and
• output an output signal based on the reception of the reflected light;
• a plurality of sensors configured to sense the subject space;
• and
• a central processing unit (CPU) configured to:
• convert the output signal into time information, wherein the time information indicates a time range corresponding to a time from the emission of the light by the light source to a time of the reception of the light by the light receiving element;
• acquire first distribution of the time information;
• change, based on the acquired first distribution of the time information, values of a plurality of parameters of the light source, wherein
• the plurality of parameters includes at least one of a direction of irradiation by the light source, power of the irradiation by the light source, or a pulse shape of the irradiation by the light source;
• acquire second distribution of the time information based on the changed values of the plurality of parameters of the light source;
• select, based on the acquired second distribution of the time information, a first machine learning model from a plurality of machine learning models;
• and
• recognize, based on the selected first machine learning model, information corresponding to a distance to the measurement object, wherein the recognition of information corresponding to the distance to the measurement object is based on the time information;
• acquire, from at least one sensor of the plurality of sensors, a sensing result of the subject space in which the measurement object exists;
• and
• switch, based on the sensing result, from the first machine learning model to a second machine learning model of the plurality of machine learning models.

A method, comprising:

• emitting, by a light source, light toward a measurement object;
• receiving, by a light receiving element, the light reflected from the measurement object;
• outputting, by the light receiving element, an output signal based on the reception of the reflected light;
• converting the output signal into time information, wherein the time information indicates a time range corresponding to a time from the emission of the light by the light source to a time of the reception of the light by the light receiving element;
• acquiring first distribution of the time information;
• changing, based on the acquired first distribution of the time information, values of a plurality of parameters associated with the light source, wherein
• the plurality of parameters includes at least one of a direction of irradiation by the light source, power of the irradiation by the light source, or a pulse shape of the irradiation by the light source;
• acquiring second distribution of the time information based on the changed values of the plurality of parameters of the light source;
• selecting, based on the acquired second distribution of the time information, a first machine learning model from a plurality of machine learning models, wherein
• the selected first machine learning model recognizes specific information corresponding to a distance to the measurement object, and
• the specific information is recognized based on the time information;
• acquiring a sensing result of a subject space in which the measurement object exists;
• and
• switching, based on the sensing result, from the first machine learning model to a second machine learning model of the plurality of machine learning models.