The disclosed system may include (1) a light source that emits light pulses into a field of view, (2) a light sensor array that captures light reflected from the field of view resulting from the light pulses, (3) a light control subsystem that (a) controls an emission timing of the light source and (b) controls a capture timing of the light sensor array relative to the emission timing of the light source, and (4) a depth measurement subsystem that generated depth measurements of at least some of the field of view based at least in part on output from the light sensor array, where operation of the light control subsystem is based at least in part on prior knowledge of the field of view. Various other methods and systems are also disclosed.

The disclosed system may include (1) a light source that emits light pulses into a field of view, (2) a light sensor array that captures light reflected from the field of view resulting from the light pulses, (3) a light control subsystem that (a) controls an emission timing of the light source and (b) controls a capture timing of the light sensor array relative to the emission timing of the light source, and (4) a depth measurement subsystem that generated depth measurements of at least some of the field of view based at least in part on output from the light sensor array, where operation of the light control subsystem is based at least in part on prior knowledge of the field of view. Various other methods and systems are also disclosed.

This invention discloses an inland river Lidar navigation system for vessels, comprising a receiver, a memory, a processor and a display. The processor coupled to the receiver and the memory, and the display coupled to the processor. Overall, the inland river navigation Lidar system based on Lidar is able to make use of the preset map data identification uncalculatable points of a point cloud of the predetermined procedure, thereby removing of the alignment step in traditional method can be omitted. Therefore, the processing speed can be improved.

This invention discloses an inland river Lidar navigation system for vessels, comprising a receiver, a memory, a processor and a display. The processor coupled to the receiver and the memory, and the display coupled to the processor. Overall, the inland river navigation Lidar system based on Lidar is able to make use of the preset map data identification uncalculatable points of a point cloud of the predetermined procedure, thereby removing of the alignment step in traditional method can be omitted. Therefore, the processing speed can be improved.

A method for detecting obstacles in the vicinity of an aircraft. The method comprises the following steps: examining a surrounding space by means of an obstacle sensor, the obstacle sensor generating positioning data relating to a plurality of obstacle points; determining, from among the obstacle points, each relevant point situated within a predetermined detection volume, the detection volume being different from the surrounding space; and displaying the relevant points on a display.

Disclosed herein are systems, methods, and computer-readable media for damage assessment using multi-dimensional surface scans. In an example embodiment, an electronic damage assessment request related to the property is received. One or more autonomous drones are dispatched to the property associated with the damage assessment request and capture sensor data associated with a surveyed area of the property. Based on the sensor data, a three-dimensional surface scan of the surveyed area of the property is generated. Damage to the property is assessed based on the generated three-dimensional surface scan. A damage report including the assessed damage is generated and transmitted to an interactive display interface of a computing system.

A vehicle lane marking detection system includes a 3D sensor, a driver assist component and an electronic controller. The 3D sensor is installed to a vehicle and is configured to scan physical objects around the vehicle outputting a plurality of data points each corresponding to a surface point of a physical feature. Each data point being defined by distance, direction, intensity and vertical location relative to the vehicle. The electronic controller is connected to the 3D sensor and the driver assist component. The electronic controller evaluates a point cloud defined by the data points identifying lane markings based on the intensity of the data points. The data points having intensities greater than a predetermined level are determined to correspond to lane marking and are provided to the driver assist component with the lane markings for use thereby.

A vehicle lane marking detection system includes a 3D sensor, a driver assist component and an electronic controller. The 3D sensor is installed to a vehicle and is configured to scan physical objects around the vehicle outputting a plurality of data points each corresponding to a surface point of a physical feature. Each data point being defined by distance, direction, intensity and vertical location relative to the vehicle. The electronic controller is connected to the 3D sensor and the driver assist component. The electronic controller evaluates a point cloud defined by the data points identifying lane markings based on the intensity of the data points. The data points having intensities greater than a predetermined level are determined to correspond to lane marking and are provided to the driver assist component with the lane markings for use thereby.

Provided is a scanning range setting method using a surveying instrument configured to measure a distance to a measurement point by using a distance measuring light and measure an angle to the measurement point, and a scanner configured to scan with a scanning light around a rotation axis to acquire three-dimensional point group data. The method includes steps of: (A) measuring a distance to one or more measurement points by the surveying instrument, (B) storing coordinates and angles of the measurement points, (C) automatically setting an area including all of the measurement points as a scanning range by the scanner, and (D) scanning the scanning range by the scanner, wherein a coordinate system of the scanner and a coordinate system of the surveying instrument match each other.

Provided is a scanning range setting method using a surveying instrument configured to measure a distance to a measurement point by using a distance measuring light and measure an angle to the measurement point, and a scanner configured to scan with a scanning light around a rotation axis to acquire three-dimensional point group data. The method includes steps of: (A) measuring a distance to one or more measurement points by the surveying instrument, (B) storing coordinates and angles of the measurement points, (C) automatically setting an area including all of the measurement points as a scanning range by the scanner, and (D) scanning the scanning range by the scanner, wherein a coordinate system of the scanner and a coordinate system of the surveying instrument match each other.