Distance measurement accuracy is improved while an increase in power consumption is suppressed. A solid-state imaging device includes a first pixel (210) that detects an address event based on incident light, and a second pixel (310) that generates information on a distance to an object based on the incident light. The second pixel generates the information on the distance to the object when the first pixel detects the address event.

The present technique relates to an imaging element and a distance measurement module capable of reducing parasitic capacity._A distance measurement module includes: a first wiring that connects predetermined transistors in first adjacent pixels to a via formed in one of first adjacent pixels and connected to a wiring formed in another layer; and a second wiring that connects predetermined transistors in second adjacent pixels to a via formed in a pixel that is adjacent to one of second adjacent pixels and connected to a wiring formed in another layer, in which the first wiring is connected to a redundant wiring. The present technique can be applied to a distance measurement sensor that performs distance measurement, for example.

The present technology relates to an image sensor, an imaging device, and a ranging device capable of performing imaging so that noise is reduced. A photoelectric conversion unit configured to perform photoelectric conversion; a charge accumulation unit configured to accumulate charges obtained by the photoelectric conversion unit; a transfer unit configured to transfer the charges from the photoelectric conversion unit to the charge accumulation unit; a reset unit configured to reset the charge accumulation unit; a reset voltage control unit configured to control a voltage to be applied to the reset unit; and an additional control unit configured to control addition of capacitance to the charge accumulation unit are included. The charge accumulation unit includes a plurality of regions. The present technology can be applied to, for example, an imaging device that captures an image and a ranging device that performs ranging.

A three-dimensional measurement device includes a camera for acquiring position information for three-dimensional points on the surface of an object on the basis of the time of flight of light, and a control device. The camera acquires, at a plurality of relative positions of the camera with respect to a workpiece, three-dimensional point position information. A plurality of evaluation regions are defined for the workpiece. The control device specifies, for each evaluation region, the three-dimensional point closest to a reference plane from among three-dimensional points detected in the evaluation region. The control device generates, on the basis of the multiple three-dimensional points specified for the respective evaluation regions, three-dimensional point position information in which multiple pieces of three-dimensional point position information acquired by the camera are combined.

The present application relates to an optical-electro system, which includes a substrate; at least one photo-detecting unit at least partially formed on the substrate to detect a signal light; at least one optical waveguide at least partially formed on the substrate, each of the at least one optical waveguide connected to one of the at least one photo-detecting unit to input a local light; and at least one electronic output port connected to the at least one photo-detecting unit to transmit at least one electronic output signal from the at least one photo-detecting unit, wherein the at least one electronic output signal is associated with the signal light and the local light.

A computer-implemented method comprises: generating first output using a first sensor of a vehicle comprising an infrared camera or an event-based sensor, the first output indicating a portion of surroundings of the vehicle; providing the first output to a LiDAR of the vehicle having a field of view (FOV); configuring a resolution of the LiDAR based at least in part on the first output; generating a representation of at least part of the surroundings of the vehicle using the LiDAR; providing, to a perception component of the vehicle, second output of a second sensor of the vehicle and third output of the LiDAR, the perception component configured to perform object detection, sensor fusion, and object tracking regarding the second and third outputs, wherein the first output bypasses at least part of the perception component; and performing motion control of the vehicle using a fourth output of the perception component.

A distance measurement system includes a distance measurement device and an external processing device. Here, the distance measurement device receives reflected light from a subject for a plurality of exposure periods in a frame in which irradiation light is emitted, switches a plurality of distance calculation expressions according to an amount of charge measured for each exposure period, and calculates a measured distance to the subject from the amount of charge measured for each exposure period. The external processing device acquires the measured distance from the distance measurement device and performs data processing. Then, the external processing device predicts a measured distance including a distance error caused by an influence of multipath. The external processing device generates a correction expression for correcting the measured distance. The external processing device corrects the measured distance acquired from the distance measurement device using the correction expression.

A distance measurement system includes a distance measurement device and an external processing device. Here, the distance measurement device receives reflected light from a subject for a plurality of exposure periods in a frame in which irradiation light is emitted, switches a plurality of distance calculation expressions according to an amount of charge measured for each exposure period, and calculates a measured distance to the subject from the amount of charge measured for each exposure period. The external processing device acquires the measured distance from the distance measurement device and performs data processing. Then, the external processing device predicts a measured distance including a distance error caused by an influence of multipath. The external processing device generates a correction expression for correcting the measured distance. The external processing device corrects the measured distance acquired from the distance measurement device using the correction expression.

Systems and methods for image-based perception. The methods comprise: capturing images by a plurality of cameras with overlapping fields of view; generating, by a computing device, spatial feature maps indicating locations of features in the images; identifying, by the computing device, overlapping portions of the spatial feature maps; generating, by the computing device, at least one combined spatial feature map by combining the overlapping portions of the spatial feature maps together; and/or using, by the computing device, the at least one combined spatial feature map to define a predicted cuboid for at least one object in the images.

Systems and methods for image-based perception. The methods comprise: capturing images by a plurality of cameras with overlapping fields of view; generating, by a computing device, spatial feature maps indicating locations of features in the images; identifying, by the computing device, overlapping portions of the spatial feature maps; generating, by the computing device, at least one combined spatial feature map by combining the overlapping portions of the spatial feature maps together; and/or using, by the computing device, the at least one combined spatial feature map to define a predicted cuboid for at least one object in the images.