A method comprises receiving, at a vehicle system of a vehicle, sensor data from one or more sensors; detecting an object based on the sensor data; determining whether a dynamic map maintained by a remote computing device includes the detected object; upon determination that the dynamic map includes the detected object, determining a remaining time-to-live associated with the detected object based on data associated with the dynamic map; and transmitting data about the detected object to the remote computing device if the determined remaining time-to-live associated with the detected object is less than a predetermined threshold time.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

There is disclosed a method of updating a database of spatial features, said spatial features being associated with a region, and the method comprising: receiving positioning data that has been collected at a plurality of locations within the region; processing the collected positioning data to identify at least one candidate spatial feature associated with the region; identifying at least one other spatial feature corresponding to said at least one candidate spatial feature, said at least one other spatial feature and said at least one candidate spatial feature as a whole constituting matching spatial features; processing said matching spatial features; and updating the database of spatial features in dependence on the processing of said matching spatial features.

Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on analysis of the images, first and second estimated positions of the target vehicle within the time period; determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.

The method of preparing a navigation autonomy map for a vehicle covering a zone including path segments, comprising the following steps: identifying the path segments for which the map needs to be prepared; for each path segment, calculating a primary autonomy index in accordance with at least two distinct functions; and calculating for each path segment a final autonomy index by taking a weighted average of the primary autonomy indices. An autonomy map, an application of the autonomy map, and a vehicle using such an autonomy map.

The disclosure describes systems of navigating a hazardous environment. The system includes personal protective equipment (PPE) and computing device(s) configured to process sensor data from the PPE, generate pose data of an agent based on the processed sensor data, and track the pose data as the agent moves through the hazardous environment. The PPE may include an inertial measurement device to generate inertial data and a radar device to generate radar data for detecting a presence or arrangement of objects in a visually obscured environment. The PPE may include a thermal image capture device to generate thermal image data for detecting and classifying thermal features of the hazardous environment. The PPE may include one or more sensors to detect a fiducial marker in a visually obscured environment for identifying features in the visually obscured environment. In these ways, the systems may more safely navigate the agent through the hazardous environment.

The purpose of the present disclosure is to suppress an error which occurs in movement, such as in anchoring a ship. A ship navigation assistance system includes a measurement sensor and a characteristic information updating module. The measurement sensor acquires measurement information on an object using a ranging result of an area including the object that is an anchorage target of a ship. The characteristic information updating module updates characteristic information on the object using initial characteristic information on the object or characteristic information before updating on the object, and the measurement information.

In an autonomous vehicle system, data received from one or more autonomous vehicles (AVs) can be aggregated to generate aggregated data. From this aggregated data, a vector-field map can be generated that includes a plurality of cells. Each of the cells can include a corresponding vector. The vector field map can be analyzed to identify one or more vectors of the plurality of cells that exceed one or more predetermined threshold values. The analysis can include a magnitude analysis and/or a frequency analysis. Based on the analysis, traffic and/or road conditions can be determined, which can provide prior knowledge about the driving behavior of other vehicles. Advantageously, aspects of the disclosure improve predictive motion models and enhance navigation algorithms.

A point which requires visual attention is added to map data. A map data generation device acquires image data in which the outside is captured from a vehicle by an input device and a point data of the vehicle, associates both data, and generates a visual saliency map acquired by estimating fluctuation of visual saliency based on the image data by the visual saliency extraction unit. Then, whether or not a point or a section indicated by position information corresponding to the visual saliency map is a point or a section which requires visual attention is analyzed based on the visual saliency map by an analysis unit, and the point or the section which requires the visual attention is added to the map data based on an analysis result of the analysis unit by an addition device.

Embodiments of the present disclosure provide a method and apparatus for generating information. A method may include: determining, according to received positioning request information, visiting information for a target area of interest, the visiting information including location information of at least one visiting point; determining, according to the location information of the at least one visiting point, a visiting point distribution map including the at least one visiting point; performing grid division on the visiting point distribution map, to obtain a first grid map including at least one grid; and generating, based on the first grid map, outline information for the target area of interest.