A three-dimensional image element and an optical radar device that have low cost and are capable of detecting a distance to a measurement object at a close distance before a final result of counting the number of pulses is acquired are realized. A pixel storage element has a plurality of binary counters that integrate the number of electrical pulses at mutually different timings and the reading of data by a signal processing circuit and the integration are able to be performed in parallel.

A three-dimensional image element and an optical radar device that have low cost and are capable of detecting a distance to a measurement object at a close distance before a final result of counting the number of pulses is acquired are realized. A pixel storage element has a plurality of binary counters that integrate the number of electrical pulses at mutually different timings and the reading of data by a signal processing circuit and the integration are able to be performed in parallel.

Three-dimensional LiDAR scanning combines a solid-state fast scanning device such as an optical switch and a slower scanning device such as a mirror and may include a switch architecture for a large port-count optical switch to provide frame rates of 100 Hz or higher with improved resolution and detection range. A controller provides adjustable scanning of the field-of-view (FOV) with respect to scan area, scan or frame rate, and resolution for a frame, detected object, or time slices of a scan. A controller combines RGB data with NIR data to match 3D images with color 2D images. A controller or computer processes point cloud data to generate vector cloud data to identify, categorize, and track objects within or beyond the FOV. Vector cloud data provides lossless compression for storage/communication of road traffic and scene data, object history, and object sharing beyond the FOV.

Three-dimensional LiDAR scanning combines a solid-state fast scanning device such as an optical switch and a slower scanning device such as a mirror and may include a switch architecture for a large port-count optical switch to provide frame rates of 100 Hz or higher with improved resolution and detection range. A controller provides adjustable scanning of the field-of-view (FOV) with respect to scan area, scan or frame rate, and resolution for a frame, detected object, or time slices of a scan. A controller combines RGB data with NIR data to match 3D images with color 2D images. A controller or computer processes point cloud data to generate vector cloud data to identify, categorize, and track objects within or beyond the FOV. Vector cloud data provides lossless compression for storage/communication of road traffic and scene data, object history, and object sharing beyond the FOV.

Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

A draft survey apparatus for gauging a barge by determining a weight of bulk materials loaded and discharged from the barge in water wherein the water level is provided. The draft survey apparatus includes a light source for emitting photons radially outward from the light source, a receiver for receiving the photons reflected off of the barge and surface, the receiver operable to sense a return angle of the photons, and a processor operable to determine a position of the objects and surfaces in three dimensional space based on the return angle of the photons and a time delay of photons between emission and receipt. The processor is operable to determine the weight of the bulk materials on the barge based on a height of barge above the water level.

An image-capturing device includes a sensor, a visible-light-pixel driver, and a non-visible-light-pixel driver. The sensor is configured to have a plurality of visible light pixels having sensitivity to visible light and a plurality of non-visible light pixels having sensitivity to non-visible light. The visible-light-pixel driver controls light exposure to the visible light pixels and a reading operation for charges generated by photoelectric conversion of the visible light pixels resulting from the light exposure. The non-visible-light-pixel driver performs the light exposure to previously-set every two or more non-visible light pixels at the time of the light exposure to the non-visible light pixels and the reading operation, sums the charges generated by the photoelectric conversion of the two or more non-visible light pixels resulting from the light exposure, and creates the distance image on the basis of the summed charges.

An optoelectronic measuring device having scanning functionality having a pulsed radiation source for generating a measuring beam from light pulses at a light pulse emission rate, an optoelectronic detector for detecting light pulses reflected from a target object, a control and analysis unit designed for measuring a distance value from a respective scanning point of the target object according to the time-of-flight principle, based on a number n>=1 of light pulses, wherein the control and analysis unit is designed to automatically set the number (n) depending on a target-object-related measured value determined by the measuring device in real time.

The present disclosure relates to a signal processing device that enables detection of the distance between an imaging device and a subject using an imaging device with high versatility, a signal processing method, and a program. A determination part classifies pixels to a plurality of pixel groups, and determines a pair of a first pixel group and a second pixel group using for detection of distance between the imaging device and the subject from a plurality of pixel groups on the basis of a charge accumulation period for each pixel group of the imaging device in which charge accumulation period is controlled, and a light projection period of pulse light projected toward the subject of the imaging device, for each pixel group. The present disclosure can be applied to, for example, a distance detection device or the like.

A control unit of the sensor control device controls sensor based on the planimetric feature information related to the planimetric features and the sensor information related to the sensors. Thereby, while the sensors are appropriately operated as necessary, and the detailed current information of the planimetric feature is acquired by the sensors, the total data size of the information acquired by the sensors can be reduced.