Mapping System and Method
A method, computer program product, and computing system for receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle; and processing the metric data to generate a semantic understanding of the autonomous vehicle.
1 . A computer-implement method, executed on a computing device, comprising:
receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle; and
processing the metric data to generate a semantic understanding of the autonomous vehicle.
2 . The computer-implement method of claim 1 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a spatial understanding with respect to the autonomous vehicle.
3 . The computer-implement method of claim 1 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a temporal understanding with respect to the autonomous vehicle.
4 . The computer-implement method of claim 1 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.
5 . The computer-implement method of claim 4 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.
6 . The computer-implement method of claim 5 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.
7 . The computer-implement method of claim 4 wherein the semantic view includes one or more of:
a static infrastructure semantic view having a set of nodes that includes all static infrastructure elements; and
a dynamic agent semantic view having a set of nodes that includes:
all nodes of the static infrastructure semantic view, and
nodes for all dynamic agents.
8 . A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle; and
processing the metric data to generate a semantic understanding of the autonomous vehicle.
9 . The computer program product of claim 8 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a spatial understanding with respect to the autonomous vehicle.
10 . The computer program product of claim 8 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a temporal understanding with respect to the autonomous vehicle.
11 . The computer program product of claim 8 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.
12 . The computer program product of claim 11 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.
13 . The computer program product of claim 12 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.
14 . The computer program product of claim 11 wherein the semantic view includes one or more of:
a static infrastructure semantic view having a set of nodes that includes all static infrastructure elements; and
a dynamic agent semantic view having a set of nodes that includes:
all nodes of the static infrastructure semantic view, and
nodes for all dynamic agents.
15 . A computing system including a processor and memory configured to perform operations comprising:
receiving metric data that is based, at least in part, upon sensor data generated by various sensors of an autonomous vehicle; and
processing the metric data to generate a semantic understanding of the autonomous vehicle.
16 . The computing system of claim 15 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a spatial understanding with respect to the autonomous vehicle.
17 . The computing system of claim 15 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
generating a temporal understanding with respect to the autonomous vehicle.
18 . The computing system of claim 15 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle includes:
creating/updating a semantic understanding of the autonomous vehicle and the state of the surroundings of the autonomous vehicle. thus generating a semantic view.
19 . The computing system of claim 18 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding to make complex inferences relating to dynamic agents and static infrastructure in the environment, thus generating semantic inferences.
20 . The computing system of claim 19 wherein processing the metric data to generate a semantic understanding of the autonomous vehicle further includes:
processing the semantic understanding and the semantic inferences to make complex behavioral decisions to fulfill the navigational objectives of the autonomous vehicle.
21 . The computing system of claim 18 wherein the semantic view includes one or more of:
a static infrastructure semantic view having a set of nodes that includes all static infrastructure elements; and
a dynamic agent semantic view having a set of nodes that includes:
all nodes of the static infrastructure semantic view, and
nodes for all dynamic agents.