A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. A 2D scanner collects horizontal 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.

An information processing device (100) includes a map information generation unit (11) and a usage amount calculation unit (12). The map information generation unit (11) generates map information by using measurement information including a plurality of types of information measured by a measurement device (300) which measures information on features and is mounted on a measurement vehicle (310). The usage amount calculation unit (12) calculates a usage amount of the map information generation unit (11) used for generating the map information by using at least one of the plurality of types of information included in measurement information.

A method for measuring and registering three-dimensional (3D) coordinates by measuring 3D coordinates with a 3D scanner in a first position, measuring two-dimensional (2D) coordinates with a 2D scanner while moving from the first position to a second position, measuring 3D coordinates with the 3D scanner at the second position, and determining a correspondence among targets in the first and second positions while moving between the second position and a third registration position.

A cooperating vehicle (110) is a transporting vehicle which includes sensors for road measurement. An in-vehicle apparatus (300) mounted on the cooperating vehicle acquires measured data obtained by the cooperating vehicle, generates point cloud data on the basis of the measured data, and transmits the point cloud data to a map server apparatus (200). The map server apparatus receives the point cloud data from the in-vehicle apparatus, and generates map data on the basis of the point cloud data.

In response to confirmation request from an onboard terminal in a state where updated data after start of a temporary road change is available, a map update server distributes the updated data and instructs the onboard terminal to temporarily use the updated data. In response to the confirmation request in a state where the updated data after end of a temporary road change is available, the server instructs the onboard terminal to use the updated data from before the start of the temporary road change. In response to being instructed to temporarily use the updated data, the terminal uses the updated data that has been distributed. In response to being instructed to use the updated data from before the start of a temporary road change, the terminal temporarily uses the updated data by using map data from before the start of the temporary road change instead of the updated data.

A method executed by at least one processor in accordance with assisted driving or automatic driving of a vehicle includes: acquiring road information from one or more sensors of the vehicle; acquiring a temporary map; calculating a difference amount A between route information generated from the temporary map and route information generated from the road information; and outputting a determination result indicating that quality of the temporary map is acceptable when the difference amount A is a predetermined value or less.

Some embodiments of the present invention provide a method of navigating through a terrain using a human-scale vehicle, the method including: receiving an origin point and one or more destination points in the terrain; selecting route segments of a plurality of predefined route segments to navigate a user from the origin point to the one or more destination points in the terrain using the human-scale vehicle; obtaining motion data from one or more motion sensors disposed on at least one of the user and the human-scale vehicle during traveling of the human-scale vehicle along the selected route segments; and determining, based on at least a portion of the obtained motion data, terrain characteristics of the selected route segments.

An apparatus including a processor and memory having computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: use a classification model to identify one or more anomalies between a monitored trajectory of a vehicle through a road network and predefined map data for the road network which are likely caused by errors in the predefined map data; and provide details of the one or more identified anomalies for use in obtaining additional data for the specific locations on the road network corresponding to the one or more identified anomalies in order to correct the errors in the predefined map data.

A communication terminal is connected to a server and provides movement guidance for a mobile unit based on guidance information delivered from the server. The terminal requests the server for update information for updating area identification information that identifies a section corresponding to an update target area and a section not corresponding to the update target area on a section-by-section basis. The update target area is an area whose terminal-side map information included in the communication terminal is an older version. The terminal updates the area identification information based on the update information transmitted from the server, requests the server for guidance information for providing movement guidance for the mobile unit based on the updated area identification information, and provides the movement guidance for the mobile unit based on the guidance information delivered from the server.

Techniques are disclosed for collaborative map construction using multiple vehicles. Such a system may include a ground vehicle including a first computing device and a first scanning sensor, and an aerial vehicle including a second computing device and a second scanning sensor. The ground vehicle can obtain a first real-time map based on first scanning data using the first scanning sensor, and transmit a first real-time map and position information to the aerial vehicle. The aerial vehicle can receive the first real-time map and the position information from the first computing device, obtain a second real-time map based on second scanning data collected using the second scanning sensor, and obtain a third real-time map based on the first real-time map and the second real-time map.