Abstract: A method for recognizing a primitive in an image includes recognizing at least one primitive in the image to obtain at least one candidate shape of the at least one primitive, which at least one candidate shape has a respective confidence; determining whether the recognizing of the at least one primitive has a potential error based on the confidence; obtaining auxiliary information about the at least one primitive from a user in response to determining that the recognizing has the potential error; and re-recognizing the at least one primitive at least in part based on the auxiliary information.

Abstract: A method of querying spatial events in a vehicle network includes receiving, by a processing device, a query condition of a user; in response to reception of the query condition of the user, determining context information of a position where the user locates; and according to the query condition of the user and the context information of the position where the user locates, querying an index table recording correspondence between terminal nodes of roads in a road map and spatial events to obtain spatial events meeting the query condition of the user.

Abstract: There is disclosed a method, comprising: determining a road segment group set that corresponds to a current time period, and a correspondence relationship between each road segment group in the road segment group set and a computing node of the cluster server, wherein the road segment group is a group of road segments which are grouped according to the number of computing nodes of the cluster server and the dissimilarity between divided road segments in a road network; in response to receiving multiple GPS sampled data from a vehicle, generating a map matching request according to the multiple GPS sampled data; and in response to generating a map matching request and obtaining a road segment to which the latest location of the vehicle belongs, sending the map matching request to a computing node that corresponds to a road segment group to which the obtained road segment belongs.

Abstract: A method of providing video feeds from a plurality of cameras to a plurality of screens including determining a plurality of constraints on a centralized processor processing the video feeds, determining a camera semantic classification for each of the plurality of cameras, determining historical events captured by each of the plurality of cameras, and providing at least one video feed to at least one of the screens according to the plurality of constraints on the centralized processor, the camera semantic classifications and the historical events.

Abstract: A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.

Abstract: An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

Abstract: A method of determining a path comprises obtaining a path in a road net, the road net comprising a plurality of nodes; calculating, with a processing device, an event displacement probability within coverage of the path, wherein the event displacement probability is used to describe a possibility of displacement of an event that could have occurred within the coverage of the path, to outside the coverage of the path to occur; and changing the path based on the event displacement probability.

Abstract: A method of determining a path comprises obtaining a path in a road net, the road net comprising a plurality of nodes; calculating, with a processing device, an event displacement probability within coverage of the path, wherein the event displacement probability is used to describe a possibility of displacement of an event that could have occurred within the coverage of the path, to outside the coverage of the path to occur; and changing the path based on the event displacement probability.

Abstract: A method of querying spatial events in a vehicle network includes receiving, by a processing device, a query condition of a user; in response to reception of the query condition of the user, determining context information of a position where the user locates; and according to the query condition of the user and the context information of the position where the user locates, querying an index table recording correspondence between terminal nodes of roads in a road map and spatial events to obtain spatial events meeting the query condition of the user.

Abstract: A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.

Abstract: A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.

Abstract: A system and method for mining the failure association rules of geographically dispersed physical assets is provided. One approach of the present invention has steps of joining input data sources, extracting spatio-temporal (ST) information, quantilizing ST continuous value in automated manner, or based on pre-built knowledge, applying association rule mining algorithm to find associations between attributes and failure and outputting identified ST failure association rules.

Abstract: An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

Abstract: A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.