IMPLEMENTING DEGRADED PERFORMANCE MODES IN AN AUTONOMOUS VEHICLE
Implementing degraded performance modes in an autonomous vehicle, including: detecting, by a node of a distributed automation computing system, a failure associated with receiving first expected data from one or more other nodes within a time window; selecting, based on the failure, a model; and providing, to another node and based on the model, an output associated with the first expected data.
1 . A method for implementing degraded performance modes in an autonomous vehicle, comprising:
detecting, by a node of a distributed automation computing system, a failure associated with receiving first expected data from one or more other nodes within a time window;
selecting, based on the failure, a model; and
providing, to another node and based on the model, an output associated with the first expected data.
2 . The method of claim 1 , wherein selecting the model comprises selecting the model from a plurality of models configured to provide a same type of output based on different types of input data.
3 . The method of claim 1 , wherein the failure comprises failing to receive the first expected data within the time window.
4 . The method of claim 3 , wherein the model comprises a model for generating one or more portions of extrapolated data.
5 . The method of claim 1 , wherein the failure comprises receiving a portion of the first expected data within the time window and failing to receive another portion of the first expected data within the time window.
6 . The method of claim 1 , wherein providing the output associated with the expected data comprises providing one or more confidence values based on the failure.
7 . The method of claim 1 , further comprising:
receiving second expected data within another time window;
selecting another model for processing the second expected data; and
providing, based on the other model and the second expected data, another output to the other node.
8 . An apparatus for implementing degraded performance modes in an autonomous vehicle, the apparatus comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to perform steps comprising:
detecting, by a node of a distributed automation computing system, a failure associated with receiving first expected data from one or more other nodes within a time window;
selecting, based on the failure, a model; and
providing, to another node and based on the model, an output associated with the first expected data.
9 . The apparatus of claim 8 , wherein selecting the model comprises selecting the model from a plurality of models configured to provide a same type of output based on different types of input data.
10 . The apparatus of claim 8 , wherein the failure comprises failing to receive the first expected data within the time window.
11 . The apparatus of claim 10 , wherein the model comprises a model for generating one or more portions of extrapolated data.
12 . The apparatus of claim 8 , wherein the failure comprises receiving a portion of the first expected data within the time window and failing to receive another portion of the first expected data within the time window.
13 . The apparatus of claim 8 , wherein providing the output associated with the expected data comprises providing one or more confidence values based on the failure.
14 . The apparatus of claim 8 , further comprising:
receiving second expected data within another time window;
selecting another model for processing the second expected data; and
providing, based on the other model and the second expected data, another output to the other node.
15 . A computer program product disposed upon a non-transitory computer readable medium, the computer program product comprising computer program instructions for implementing degraded performance modes in an autonomous vehicle that, when executed, cause a computer system to perform steps comprising:
detecting, by a node of a distributed automation computing system, a failure associated with receiving first expected data from one or more other nodes within a time window;
selecting, based on the failure, a model; and
providing, to another node and based on the model, an output associated with the first expected data.
16 . The computer program product of claim 15 , wherein selecting the model comprises selecting the model from a plurality of models configured to provide a same type of output based on different types of input data.
17 . The computer program product of claim 15 , wherein the failure comprises failing to receive the first expected data within the time window.
18 . The computer program product of claim 17 , wherein the model comprises a model for generating one or more portions of extrapolated data.
19 . The computer program product of claim 15 , wherein the failure comprises receiving a portion of the first expected data within the time window and failing to receive another portion of the first expected data within the time window.
20 . The computer program product of claim 15 , wherein providing the output associated with the expected data comprises providing one or more confidence values based on the failure.