A method for generating a colored tridimensional map of an environment surrounding a device, including the steps of receiving a first stream including a plurality of N point cloud frames from a tridimensional sensor, receiving a second stream including a plurality of M images from a camera, generating a global tridimensional map by merging the plurality of N point cloud frames in a reference coordinate system, and determining the colored tridimensional map by assigning a calculated color to each tridimensional data point of global tridimensional map, the calculated color being determined from color values of pixels of the plurality of M images.

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.

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.

A high-definition map creation method includes: obtaining point cloud data collected with respect to a target region, the point cloud data including K frames of point clouds and an initial pose of each frame of point cloud, K being an integer greater than 1; associating the K frames of point clouds with each other in accordance with the initial pose to obtain a first point cloud relation graph of the K frames of point clouds; performing point cloud registration on the K frames of point clouds in accordance with the first point cloud relation graph and the initial pose to obtain a target relative pose of each frame of point cloud in the K frames of point clouds; and splicing the K frames of point clouds in accordance with the target relative pose to obtain a point cloud map of the target region.

A high-definition map creation method includes: obtaining point cloud data collected with respect to a target region, the point cloud data including K frames of point clouds and an initial pose of each frame of point cloud, K being an integer greater than 1; associating the K frames of point clouds with each other in accordance with the initial pose to obtain a first point cloud relation graph of the K frames of point clouds; performing point cloud registration on the K frames of point clouds in accordance with the first point cloud relation graph and the initial pose to obtain a target relative pose of each frame of point cloud in the K frames of point clouds; and splicing the K frames of point clouds in accordance with the target relative pose to obtain a point cloud map of the target region.

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.

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 method and a device for multi-object tracking, and an electronic device are provided. The method includes: determining a hybrid-time position map of a current point cloud fragment; converting a tracked position map of a previous point cloud fragment into a temporary tracked position map of the current point cloud fragment; and averaging the hybrid-time position map and the temporary tracked position map of the current point cloud fragment, to generate a tracked position map of the current point cloud fragment. With the method and the device for multi-object tracking, and the electronic device, the hybrid-time position map and temporary tracked position map of the current point cloud fragment are averaged, so that not only the tracked position map of the current point cloud fragment is accurately generated, but also an object ID is inherited. Based on the object ID, the same object in different point cloud fragments are associated, so that multi-object tracking is implemented without an association step in the conventional solutions. It is unnecessary to set additional hyper-parameters, and strong versatility is achieved.

A method and a device for multi-object tracking, and an electronic device are provided. The method includes: determining a hybrid-time position map of a current point cloud fragment; converting a tracked position map of a previous point cloud fragment into a temporary tracked position map of the current point cloud fragment; and averaging the hybrid-time position map and the temporary tracked position map of the current point cloud fragment, to generate a tracked position map of the current point cloud fragment. With the method and the device for multi-object tracking, and the electronic device, the hybrid-time position map and temporary tracked position map of the current point cloud fragment are averaged, so that not only the tracked position map of the current point cloud fragment is accurately generated, but also an object ID is inherited. Based on the object ID, the same object in different point cloud fragments are associated, so that multi-object tracking is implemented without an association step in the conventional solutions. It is unnecessary to set additional hyper-parameters, and strong versatility is achieved.

Systems and methods are described for monitoring detection of objects in a sensor. The system can generate an occupancy array based on scene data corresponding to a scene of a vehicle. The array can include points that represent a location within the environment of the vehicle and an occupancy value that indicates whether an object is detected at that location. The system can modify an occupancy value of at least one point in the array and identify at least one static object miss based on a group of occupancy values of a group of points in the array.