Systems and methods are disclosed related to generating interactive user interfaces that enable a user to alter 3D point cloud data and/or associated pose graph data generated from LiDAR scans prior to generation of a high definition map. A user may make selections in a 2D map representation with overlaid graph node indicators in order to alter graph connections, remove nodes, view corresponding 3D point clouds, and otherwise edit intermediate results from LiDAR scans in order to improve the quality of a high definition map subsequently generated from the user-manipulated data.

A visualization system using mixed reality provides an extended view to the pilot or other crew of an aircraft. The extended view enables the user to visualize obstructed objects projected onto the real world scene viewed by the pilot using an optical the see-through display (OSTD) thus providing the user with greater situational awareness. A LIDAR point cloud model of the environment around the aircraft is generated from two or more laser scanning devices providing a 360 degree panoramic view. The combined point cloud model is aligned with the pilot's real world view based on the pilot's pose and projected onto the OSTD as an overlay so that the pilot sees the combined point cloud model in relation to the real world as seen by the pilot. One aspect of the invention is that the raw sensor data from the LIDAR devices is displayed on the actual real-world scene as a point cloud without any further image processing to enhance the user's perception.

A visualization system using mixed reality provides an extended view to the pilot or other crew of an aircraft. The extended view enables the user to visualize obstructed objects projected onto the real world scene viewed by the pilot using an optical the see-through display (OSTD) thus providing the user with greater situational awareness. A LIDAR point cloud model of the environment around the aircraft is generated from two or more laser scanning devices providing a 360 degree panoramic view. The combined point cloud model is aligned with the pilot's real world view based on the pilot's pose and projected onto the OSTD as an overlay so that the pilot sees the combined point cloud model in relation to the real world as seen by the pilot. One aspect of the invention is that the raw sensor data from the LIDAR devices is displayed on the actual real-world scene as a point cloud without any further image processing to enhance the user's perception.

Aspects of the disclosure relate to providing sensor data on a display of a vehicle. For instance, data points generated by a lidar sensor may be received. The data points may be representative of one or more objects in an external environment of the vehicle. A scene including a representation of the vehicle from a perspective of a virtual camera, a first virtual object corresponding to at least one of the one or more objects, and a second virtual object corresponding to at least one object identified from pre-stored map information may be generated. Supplemental points corresponding to a surface of the at least one object identified from the pre-stored map information may be generated. A pulse including at least some of the data points generated by the sensor and the supplemental points may be generated. The scene may be displayed with the pulse on the display.

A surveillance system for detecting an object within a monitored infrastructure and to a hybrid 3D surveying device, wherein a LiDAR device is configured that scanning is carried out with respect to two essentially orthogonal axes and wherein the LiDAR device comprises a cover mounted on the base, such that the base and the cover form an enclosure that encloses all moving parts of the LiDAR device, wherein the cover is configured to be opaque for visible light and translucent for the wavelength range of the LiDAR transmission radiation. The system further comprises a computing unit configured for processing the LiDAR measurement data to generate a 3D point cloud of the monitored infrastructure, and an object detector configured for classification of the object based on the 3D point cloud.

A surveillance system for detecting an object within a monitored infrastructure and to a hybrid 3D surveying device, wherein a LiDAR device is configured that scanning is carried out with respect to two essentially orthogonal axes and wherein the LiDAR device comprises a cover mounted on the base, such that the base and the cover form an enclosure that encloses all moving parts of the LiDAR device, wherein the cover is configured to be opaque for visible light and translucent for the wavelength range of the LiDAR transmission radiation. The system further comprises a computing unit configured for processing the LiDAR measurement data to generate a 3D point cloud of the monitored infrastructure, and an object detector configured for classification of the object based on the 3D point cloud.

A golf laser rangefinder comprises a housing with a pair of opposing side wall portions. One of the side wall portions has a magnetic attraction strip extending diagonally across the side wall portion for attachment to, for example, an upright roof support member of a golf cart. A display on the side wall portion opposite the magnetic attraction strip can provide data display, including real time data, to the driver or passenger of the golf cart when the laser rangefinder is mounted to the support member.

A system for creating a three dimensional model of an environment includes a LIDAR scanning system to scan an environment to provide an image of a scene of the scanned environment, a geo-locator to tag a plurality of points within the image with geo-reference points and a labeler to label features of interest within the image of the scene and to identify possible access paths within the three dimensional model of the environment from the features of interest potentially providing an access path for a target drone.

A system for creating a three dimensional model of an environment includes a LIDAR scanning system to scan an environment to provide an image of a scene of the scanned environment, a geo-locator to tag a plurality of points within the image with geo-reference points and a labeler to label features of interest within the image of the scene and to identify possible access paths within the three dimensional model of the environment from the features of interest potentially providing an access path for a target drone.

Examples of an image sensor are disclosed. In one example, the image sensor comprises a pixel cell, a switchable optical filter, and a controller. The switchable optical filter is configured to select a optical frequency range and allow incident light of the selected optical frequency range to reach the pixel cell. The controller is configured to operate the switchable optical filter to enable the pixel cell to: receive, at different times, information related to incident light of different optical frequency ranges, and generate, at the different times, intensity measurements of the incident light of different optical frequency ranges.