Techniques are disclosed for real-time mapping in a movable object environment. A system for real-time mapping in a movable object environment, may include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The system may further include a client device in communication with the at least one movable object, the client device including a visualization application which is configured to receive point cloud data from the scanning sensor and position data from the positioning sensor, record the point cloud data and the position data to a storage location, generate a real-time visualization of the point cloud data and the position data as it is received, and display the real-time visualization using a user interface provided by the visualization application.

Techniques are disclosed for real-time mapping in a movable object environment. A system for real-time mapping in a movable object environment, may include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The system may further include a client device in communication with the at least one movable object, the client device including a visualization application which is configured to receive point cloud data from the scanning sensor and position data from the positioning sensor, record the point cloud data and the position data to a storage location, generate a real-time visualization of the point cloud data and the position data as it is received, and display the real-time visualization using a user interface provided by the visualization application.

A distance measuring device has a plurality of light receiving elements each of which receives a reflected optical signal reflected by an object, and an image processor that generates a distance image in accordance with distances to the object, based on signal intensities and light reception timings of the reflected optical signal received by the plurality of light receiving elements, wherein the image processor detects a direction of the object, based on at least either the signal intensities of the reflected optical signal received by the light receiving elements or the distances to the object measured based on the reflected optical signal, and divides at least one or some of pixels included in the distance image, based on the direction of the detected object.

A distance measuring device has a plurality of light receiving elements each of which receives a reflected optical signal reflected by an object, and an image processor that generates a distance image in accordance with distances to the object, based on signal intensities and light reception timings of the reflected optical signal received by the plurality of light receiving elements, wherein the image processor detects a direction of the object, based on at least either the signal intensities of the reflected optical signal received by the light receiving elements or the distances to the object measured based on the reflected optical signal, and divides at least one or some of pixels included in the distance image, based on the direction of the detected object.

Methods are provided for using a light ranging system. A computing system receives, from light ranging devices, ranging data including distance vectors to environmental surfaces. A distance vector can correspond to a pixel of a three-dimensional image stream. The system can identify a pose of a virtual camera relative to the light ranging devices. The light ranging devices are separated from the pose by first vectors that are used to translate some of the distance vectors using the first vectors. The system may determine colors associated with the translated distance vectors and display pixels of the three-dimensional image stream using the colors at pixel positions specified by the translated distance vectors. The system may use one or more models with the ranging data to provide semantic labels that describe a region that has been, or is likely to be, in a collision.

Methods are provided for using a light ranging system. A computing system receives, from light ranging devices, ranging data including distance vectors to environmental surfaces. A distance vector can correspond to a pixel of a three-dimensional image stream. The system can identify a pose of a virtual camera relative to the light ranging devices. The light ranging devices are separated from the pose by first vectors that are used to translate some of the distance vectors using the first vectors. The system may determine colors associated with the translated distance vectors and display pixels of the three-dimensional image stream using the colors at pixel positions specified by the translated distance vectors. The system may use one or more models with the ranging data to provide semantic labels that describe a region that has been, or is likely to be, in a collision.

A distance measurement device includes a light emission unit which is capable of emitting measurement light to be irradiated toward an object, a light reception unit configured to receive light from the object via an optical filter through which light having the same wavelength band as the measurement light passes, a distance calculation unit configured to calculate a distance to the object based on each charge amount obtained by accumulating a charge corresponding to the received light at a plurality of timings which are delayed by a predetermined phase with respect to emission timing of the measurement light, and an external light intensity calculation unit configured to calculate external light illuminance of external light illuminating the object at the spectral sensitivity of the optical filter based on the charge amounts acquired at the light reception unit and a reflectivity of the object.

Airborne LiDAR bathymetry systems and methods of use are provided. The airborne LiDAR bathymetry system can collect topographic data and bathymetric data at high altitudes. The airborne LiDAR bathymetry system has a receiver system, a detector system, and a laser transmission system.

Airborne LiDAR bathymetry systems and methods of use are provided. The airborne LiDAR bathymetry system can collect topographic data and bathymetric data at high altitudes. The airborne LiDAR bathymetry system has a receiver system, a detector system, and a laser transmission system.

Systems and methods for processing point cloud data are disclosed. The methods include receiving a 3D image including point cloud data, displaying a 2D image of the 3D image, and generating a 2D bounding box that envelops an object of interest in the 2D image. The methods further include generating a projected image frame comprising a projected plurality of points by projecting a plurality of points in a first direction. The methods may then include displaying an image frame that includes the 2D image and the 2D bounding box superimposed by the projected image frame, receiving a user input that includes an identification of a set of points in the projected plurality of points that correspond to the object of interest, identifying a label for the object of interest, and storing the set of points that correspond to the object of interest in association with the label.