A system and a method of generating a map for navigating a vehicle. The system includes a remote processor. The remote processor is configured to determine an anchor point for a location of a road segment based on data from at least one data source, place the anchor point within an aerial image of the road segment, predict a boundary marking of the road segment on the aerial image based on the anchor point, and provide the boundary marking to the vehicle. A vehicle processor navigates the vehicle along the road segment using the boundary marking.

A road network data processing method, an electronic device, and a storage medium are provided, and relates to the field of the intelligent transportation. The method includes: determining a target road surface in a road image, wherein the target road surface is a road surface matching a road line in first road network data, the road image is an image, for a road, obtained according to a satellite image, and the first road network data is original road network data of a basic base map of an electronic map; and adjusting the road line to a road surface corresponding to a road width of the target road surface, to obtain second road network data of the basic base map.

Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

A method is provided for supporting one or more ground vehicles on a mission that includes traversal of a ground region. The method includes accessing geospatial data produced from an aerial survey of the ground region, and performing an analysis of the geospatial data to produce terrain data that describes the ground region. The terrain data is weighted based on constraints of the one or more ground vehicles, and an order of priority of criteria of the mission. A map is constructed in which the ground region is expressed as a geospatially-mapped array of the weighted terrain data, and the map is searched for a path that meets the criteria of the mission. The path is described by a series of waypoints that define a route across the ground region, and an indication of the route is output for the one or more ground vehicles to traverse during the mission.

The present disclosure includes a radar configured to detect surrounding objects and terrain, and a LIDAR configured to detect the surrounding objects and terrain using a narrower detection range and a higher resolution than the radar. The disclosure also includes a first map, such as a wide-area map, generated based on information about the surrounding as detected by the radar, a second map, such as a high-resolution map, based on information about the surroundings as detected by the LIDAR, and a composite map that has the grid width of the first map and the grid width of the second map.

Methods and systems for generating a real-time map of a survey area are provided. The methods and systems may include or be configured to carry out the steps of determining, based on a desired map resolution, a flight path over the survey area for a movable object having at least one image capture device. The methods and systems further may include obtaining images of the survey area captured by the at least one image capture device as the movable object travels along the flight path, and processing the images to generate the real-time map of the survey area with the desired map resolution.

A navigation system for a motor vehicle includes: an off-board navigation system spatially separated from the motor vehicle, for calculating a suggested route for the motor vehicle; a wireless communication connection between the off-board navigation system and the motor vehicle, for transmitting the suggested route to the motor vehicle; and a man-machine interface arranged in the motor vehicle, for outputting the suggested route to an operator of the motor vehicle.

Methods, systems and computer program products, for map data collection. An anchor point creation mode is activated on a mobile data collection device when the mobile data collection device enters a geographical anchor point creation area. In the anchor point creation mode, the mobile data collection device collects and streams mapping raw data to a remote computing device. A high definition map of the anchor point creation area is created by combining received raw data with mapping data from other data sources. After the map has been created, when a mobile data collection device enters the anchor point creation area, information from the map is used in a data capture mode to refine a determination of a position and/or orientation of the mobile data collection device, and a position and/or orientation of one or more features detected by the mobile data collection device.

Provided are a high-precision map construction method, an electronic device, and a storage medium, relating to the field of high-precision map technology and, in particular, to autonomous driving technology. The implementation solution includes: calculating a pose of a camera at each position point according to a pre-acquired video; calculating an absolute depth of each keypoint in the pre-acquired video according to the pose of the camera at each position point; constructing, according to the absolute depth of each keypoint in the video, a corresponding three-dimensional point cloud of each pixel point in the pre-acquired video; and constructing, according to the corresponding three-dimensional point cloud of each pixel point in the pre-acquired video, a high-precision map corresponding to the pre-acquired video.

The invention relates to a method of determining one or more conditions, of a geographical line, GL, or its surroundings. The method comprises: acquiring geo-referenced earth observation data representing one or more spatially overlapping imagery layers covering from an aerial or space perspective a specific region of interest, ROI, of the Earth's surface, the ROI comprising the GL; geometrically transforming the geo-referenced observation data, at least in parts, into a local internal frame of reference of the GL within the ROI to obtain a mapping of the geo-referenced observation data to respective corresponding coordinates within the local internal frame of reference of the GL; and evaluating the mapped earth observation data as represented in the local internal frame of reference of the GL according to a classification scheme to obtain therefrom evaluation data representing a classification of one or more properties of the GL or of its surroundings according to one or more conditions of the GL.