METHOD AND SYSTEM FOR HYBRID COLLECTIVE PERCEPTION AND MAP CROWDSOURCING
A method at a network element for collective perception in an intelligent transportation system, the method including receiving, from each of a plurality of intelligent transportation system stations, a local dynamic map; creating, based on the local dynamic map from each of the plurality of intelligent transportation system stations, a local collective perception map; and distributing the local collective perception map to at least one of the plurality of intelligent transportation system stations.
1 . A method at a network element for collective perception in an intelligent transportation system, the method comprising:
receiving, from each of a plurality of intelligent transportation system stations, a local dynamic map;
creating, based on the local dynamic map from each of the plurality of intelligent transportation system stations, a local collective perception map; and
distributing the local collective perception map to at least one of the plurality of intelligent transportation system stations.
2 . The method of claim 1 , further comprising synchronizing the local collective perception map with a wide area collective perception map at a wide area collective perception map master unit.
3 . The method of claim 1 , wherein the distributing utilizes an Intra-coded picture frame.
4 . The method of claim 1 , wherein the receiving uses a predicted picture frame having only incremental changes from a previously received local dynamic map.
5 . The method of claim 1 , wherein the creating removes objects from the local collective perception map that are no longer within received local dynamic maps.
6 . The method of claim 1 , wherein the local dynamic map received from at least one of the plurality of intelligent transportation system stations includes information about non-intelligent transportation system vehicles.
7 . The method of claim 6 , wherein the information includes at least a speed and direction of movement of the non-intelligent transportation system vehicles.
8 . The method of claim 1 , wherein only one local dynamic map from the plurality of received local dynamic maps includes information about a previously unreported object for the local collective perception map.
9 . The method of claim 1 , wherein the network element is a road side intelligent transportation system station.
10 . A network element for collective perception in an intelligent transportation system, the network element comprising:
a processor; and
a communications subsystem,
wherein the network element is configured to:
receive, from each of a plurality of intelligent transportation system stations, a local dynamic map;
create, based on the local dynamic map from each of the plurality of intelligent transportation system stations, a local collective perception map; and
distribute the local collective perception map to at least one of the plurality of intelligent transportation system stations.
11 . The network element of claim 10 , wherein the network element is further configured to synchronize the local collective perception map with a wide area collective perception map at a wide area collective perception map master unit.
12 . The network element of claim 10 , wherein the network element is configured to distribute using an Intra-coded picture frame.
13 . The network element of claim 10 , wherein the network element is configured to receive using a predicted picture frame having only incremental changes from a previously received local dynamic map.
14 . The network element of claim 10 , wherein the network element is configured to create by removing objects from the local collective perception map that are no longer within received local dynamic maps.
15 . The network element of claim 10 , wherein the local dynamic map received from at least one of the plurality of intelligent transportation system stations includes information about non-intelligent transportation system vehicles.
16 . The network element of claim 15 , wherein the information includes at least a speed and direction of movement of the non-intelligent transportation system vehicles.
17 . The network element of claim 10 , wherein only one local dynamic map from the plurality of received local dynamic maps includes information about a previously unreported object for the local collective perception map.
18 . The network element of claim 10 , wherein the network element is a road side intelligent transportation system station.
19 . A computer readable medium for storing instruction code, which, when executed by a processor of a network element configured for collective perception in an intelligent transportation system cause the network element to:
receive, from each of a plurality of intelligent transportation system stations, a local dynamic map;
create, based on the local dynamic map from each of the plurality of intelligent transportation system stations, a local collective perception map; and
distribute the local collective perception map to at least one of the plurality of intelligent transportation system stations.