Method and System for Adaptive Self-Propelled Vehicles
A method and system for self-propelled vehicles infers mobility aspects, such as speed and direction, of physical objects represented in digital maps. The physical objects may be further interpreted from pictorial-based information through the application of computer-implemented neural networks. Information is delivered to adaptive systems embodied within self-propelled vehicles that is based upon the mobility inferences and the interpretations from the pictorial information. Explanations for the delivered information comprising the system's reasoning and/or references to mobility inferences may also be delivered.
1 . A method, comprising:
accessing automatically a digital map comprising representations of a plurality of physical objects and geographic location information that is associated with each of the plurality of physical objects;
inferring automatically a speed and a direction for each of the plurality of physical objects from the geographic location information;
accessing automatically pictorial-based information, wherein the pictorial-based information comprises a representation of at least one of the plurality of physical objects;
interpreting automatically the pictorial-based information by application of a computer-implemented neural network;
generating automatically information that is based upon the interpretation of the pictorial-based information and the inferred speed and direction of each of the plurality of physical objects; and
delivering the information to a computer-implemented system that is embodied within a first self-propelled vehicle.
2 . The method of claim 1 , further comprising:
inferring automatically the speed and direction for each of the plurality of physical objects from the geographic location information, wherein at least one of the plurality of physical objects comprises a person.
3 . The method of claim 1 , further comprising:
generating automatically the information, wherein the generating of the information is further based upon an automatic inference of a preference of a user of the first self-propelled vehicle, wherein the inference of the preference is based upon a plurality of usage behaviors.
4 . The method of claim 3 , further comprising:
generating automatically the information, wherein the generating of the information is further based upon the automatic inference of the preference of the user of the first self-propelled vehicle, wherein the inference of the preference is based upon the plurality of usage behaviors, wherein at least one of the plurality of behaviors comprises a geographic location of the user.
5 . The method of claim 1 , further comprising:
generating automatically the information, wherein the generating of the information is further based upon an automatically inferred focus of attention of the user.
6 . The method of claim 4 , further comprising:
delivering the information, wherein the information is further delivered to a computer-implemented system that is embodied within a second self-propelled vehicle.
7 . The method of claim 1 , further comprising:
generating a natural language-based explanation for the generating of the information, wherein the explanation comprises reasoning that is associated with the information; and
delivering the explanation to a person.
8 . A computer-implemented system comprising one or more processors configured to:
access a digital map comprising representations of a plurality of physical objects and geographic location information that is associated with each of the plurality of physical objects;
infer a speed and a direction for each of the plurality of physical objects from the geographic location information;
access pictorial-based information, wherein the pictorial-based information comprises a representation of at least one of the plurality of physical objects;
interpret the pictorial-based information by application of a computer-implemented neural network;
generate information that is based upon the interpretation of the pictorial-based information and the inferred speed and direction of each of the plurality of physical objects; and
deliver the information to a computer-implemented system that is embodied within a first self-propelled vehicle.
9 . The system of claim 8 comprising the one or more processors, further configured to:
generate the information, wherein the information comprises an expected transit time to one of the plurality of physical objects.
10 . The system of claim 8 comprising the one or more processors, further configured to:
generate the information, wherein the generation of the information is further based upon an automatic inference of a preference of a user of the first self-propelled vehicle, wherein the inference of the preference is based upon a plurality of usage behaviors.
11 . The system of claim 10 comprising the one or more processors, further configured to:
generate the information, wherein the generation of the information is further based upon the automatic inference of the preference of the user of the first self-propelled vehicle, wherein the inference of the preference is based upon the plurality of usage behaviors, wherein at least one of the plurality of usage behaviors is a geographic location of the user.
12 . The system of claim 8 comprising the one or more processors, further configured to:
generate the information, wherein the generation of the information is further based upon an automatically inferred focus of attention of the user.
13 . The system of claim 8 comprising the one or more processors, further configured to:
generate a natural language-based explanation for the generation of the information, wherein the explanation comprises reasoning that is associated with the information; and
deliver the explanation to a person.
14 . The system of claim 13 comprising the one or more processors, further configured to:
generate the natural language-based explanation for the generation of the information, wherein the explanation further comprises a reference to the inferred speed of at least one physical object of the plurality of physical objects.
15 . A first self-propelled vehicle, comprising:
a global positioning system receiver;
one or more processors configured to:
access a digital map comprising representations of a plurality of physical objects and geographic location information that is associated with each of the plurality of physical objects;
access an automatically inferred speed and direction for each of the plurality of physical objects that is inferred from the geographic location information;
access pictorial-based information, wherein the pictorial-based information comprises a representation of at least one of the plurality of physical objects;
interpret the pictorial-based information by application of a computer-implemented neural network; and
generate information that is based upon the interpretation of the pictorial-based information and the inferred speed and direction of each of the plurality of physical objects; and
adapt the first self-propelled vehicle based upon the generated information.
16 . The first self-propelled vehicle of claim 15 , further comprising the one or more processors configured to:
determine the geographic location of the first self-propelled vehicle from data that is provided by the geographic positioning system;
infer an expected transit time between the first self-propelled vehicle and one of the physical objects of the plurality of physical objects; and
generate the information, wherein the generated information is further based on the inferred expected transit time.
17 . The first self-propelled vehicle of claim 15 , further comprising the one or more processors configured to:
access the inferred speed and direction for each of the plurality of physical objects, wherein at least one of the plurality of physical objects comprises a person.
18 . The first self-propelled vehicle of claim 15 , further comprising the one or more processors configured to:
generate the information, wherein the generation of the information is further based upon an automatic inference of a preference of a user of the first self-propelled vehicle, wherein the inference of the preference is based upon a plurality of usage behaviors.
19 . The first self-propelled vehicle of claim 15 , further comprising the one or more processors configured to:
deliver the generated information to a second self-propelled vehicle; and
receive a response to the delivery of the generated information from the second self-propelled vehicle.
20 . The first self-propelled vehicle of claim 19 , further comprising the one or more processors configured to:
adapt the first self-propelled vehicle based upon the response from the second self-propelled vehicle.