The management server 2 acquires sensing information obtained by the UAV 1 sensing, from the sky, a scatter area where a colcothar is scattered on a mountain climbing route, identifies a state of the colcothar on the basis of the sensing information, and identifies a visual recognition difficult place on the basis of the state of the colcothar.

A method and a system for controlling at least one of a traffic infrastructure device, an actuator of a traffic participant based on enhanced traffic data is provided. The method comprises steps of monitoring, by a trigger processor, an area; generating, by the trigger processor, trigger data in case a trigger event is determined in the monitored area and providing the generated trigger data indicating an area-of-interest to an image data source; obtaining image data on the area-of-interest based on the transmitted trigger data and transmitting the obtained image data to a traffic evaluation processor; evaluating, by the traffic evaluation processor, the obtained image data to generate enhanced traffic data on the area-of-interest; and outputting, by the traffic evaluation processor, the generated enhanced traffic data in a control signal, wherein the control signal is configured to control the traffic infrastructure device and/or the actuator of the traffic participant.

Method, apparatus, and computer program product are provided for assessing road surface condition. In some embodiments, candidate locations each forecast to have a dangerous road surface condition are determined, an optimized flight path is determined comprising a sequence of sites corresponding to the candidate locations, dispatch is made to a first site within the sequence, and a road surface condition at the first site is assessed using an onboard sensor (e.g., spectroradiometer). In some embodiments, a check for new information is performed before dispatch is made to a second site. In some embodiments, the candidate locations are determined using both a model forecast and data-mined locations considered hazardous. In some embodiments, the optimized flight path is determined using TSP optimization constrained by available flight time and prioritized by frequency of historical incident and severity of forecast road surface condition.

An imaging parameter output method is a method of outputting an imaging parameter of an imaging device that captures an image for measuring a displacement representing a movement of an object. The imaging parameter output method includes: obtaining object information identifying the object, and a geometric imaging condition for imaging the object; calculating the imaging parameter including a candidate imaging area for placing the imaging device and the accuracy in measuring the displacement in the candidate imaging area, based on the object information and the geometric imaging condition, without imaging the object using the imaging device; and outputting the imaging parameter.

An approach is provided for confirming road vector geometry based on aerial image(s). For example, the approach involves retrieving a feature and a vector representation of a road link. The approach also involves processing one or more aerial images depicting the road link to extract a list of spectral pixel values corresponding to the vector representation. The approach further involves determining a degree of misalignment between the spectral pixel values and a spectral signature of the feature of the road link. The approach further involves initiating a confirmation of a geometry of the vector representation based on the degree of misalignment. The approach further involves providing the confirmation as an output.

Embodiments of the present disclosure relate to a method and apparatus for generating a driving path. The method includes acquiring a two-dimensional image of a driving site obtained by a camera provided on an unmanned aerial vehicle through aerial photography, and a two-dimensional image of a site in front of a vehicle photographed by a camera provided on the vehicle; generating a global map based on the two-dimensional image of the driving site, and generating a local map based on the two-dimensional image of the site in front of the vehicle; and performing path planning based on the global map and the local map, to generate a global path and a local path, the local path following a direction of the global path.

Systems and methods for determining varying phenomena in an environment. In an embodiment, an system includes a processor configured to receive a sequence of remote sensing data regarding an environment, wherein the environment comprises a target area where changes have occurred and a surrounding area where few or no changes have occurred; process the RS data to determine signals for the changes that have occurred in the target area and where no changes have occurred in the surrounding area, wherein the signals comprise reflected sunlight radiation or returned light or radiation of different wavelengths captured by the sensor; process the signals to determining environment data indicting varying phenomena in the environment, wherein the varying phenomena in the environment comprise changes in the physical characteristics of the target area and an amount of radiation captured by the RS data; and provide the environment data for display via a user device.

Systems and methods for optimizing asset maintenance protocols by predicting vegetation-driven outages are disclosed. An example method includes determining, by one or more processors, a failure probability for each asset in a set of assets within a designated area. 5 The example method further includes defining, by the one or more processors, an asset risk for each asset in the set of assets based on the failure probability, and clustering, by the one or more processors, vegetation within the designated area to determine a predicted vegetation-driven outage. The example method further includes optimizing, by the one or more processors, a set of asset maintenance protocols corresponding to the set of assets based on the asset risk and the 10 predicted vegetation-driven outage.

The method for determining a geographic identifier including: determining a location description; determining parcel data; determining a georeferenced image based on the location description; generating a set of image features using the georeferenced image; optionally determining a built structure class; identifying a location of interest within the georeferenced image based on the set of features; determining a geographic identifier associated with the location of interest based on the image georeference; associating the geographic identifier with the location description; optionally returning the geographic identifier in response to the location description comprising an address; and optionally returning an address in response to the location description comprising a geographic coordinates.

Method and system for providing a mobility service is described. The mobility service can include delivering goods in rough terrain, rural areas, and other similar environments, by selecting and configuring vehicles for terrain considerations based on known and dynamically changing information. The disclosed system can include a vehicle configured with a deployable autonomous drone, and can determine optimized vehicle routes to remote locations using the deployable drone and vehicle navigation sensors, for real time mapping that can be combined with existing map/terrain data. The terrain data may also be sent to a vehicle in a vehicle fleet, and/or to a cloud-based server, and be used to compute the best available vehicles designed for the mobility service. The system may deploy one or more mobility solutions, collect telematics, road information, navigational data, and other information during the delivery. This feedback may then be used for future mobility services.