Device health code broadcasting on mixed vehicle communication networks
AssigneePony Al Inc.
InventorsKai Chen, Pingfan Meng
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Abstract
Described herein are systems, methods, and non-transitory computer-readable media for self-detection of fault conditions experienced by vehicle components, generation of device health codes indicative of the fault conditions, and broadcasting of the device health codes over mixed vehicle communication networks. The device health codes can be parsed to identify fault information, and the fault information can be assessed along with current vehicle operational data to determine a recommended vehicle response measure to one or more fault conditions experienced by one or more vehicle components.
Claims20
A computer-implemented method, comprising:
- receiving, by one or more processors, a first device health code broadcasted over a first vehicle communication network, wherein the first device health code is generated by a first vehicle component that experienced a first fault condition;
- receiving, by one or more of the processors, the first device health code broadcasted over a second vehicle communication network, wherein the second vehicle communication network utilizes a different communication protocol than the first vehicle communication network;
- parsing, by one or more of the processors, the first device health code to identify first fault information contained in the first device health code;
- retrieving, by one or more of the processors, current vehicle operational data;
- predicting, by one or more processors, in association with a machine learning algorithm, technique, or model, a vehicle response measure to the first fault condition based at least in part on the first fault information and the current vehicle operational data;
- generating, by one or more of the processors, one or more control commands indicative of the vehicle response measure;
- and
- sending, by one or more of the processors, the one or more control commands to a vehicle actuation system to effectuate the vehicle response measure;
- receiving feedback, by one or more of the processors, regarding an efficacy of the vehicle response measure;
- and
- updating, by one or more of the processors, the machine learning algorithm, technique, or model based on the received feedback.
A system, comprising:
- at least one processor;
- and
- at least one memory storing computer-executable instructions, wherein the at least one processor is configured to access the at least one memory and execute the computer-executable instructions to:
- receive a first device health code broadcasted over a first vehicle communication network, wherein the first device health code is generated by a first vehicle component that experienced a first fault condition;
- receive the first device health code broadcasted over a second vehicle communication network, wherein the second vehicle communication network utilizes a different communication protocol than the first vehicle communication network;
- parse the first device health code to identify first fault information contained in the first device health code;
- retrieve current vehicle operational data;
- predict, in association with a machine learning algorithm, technique, or model, a vehicle response measure to the first fault condition based at least in part on the first fault information and the current vehicle operational data;
- generate one or more control commands indicative of the vehicle response measure;
- send the one or more control commands to a vehicle actuation system to effectuate the vehicle response measure;
- receive feedback regarding an efficacy of the vehicle response measure;
- and
- update the machine learning algorithm, technique, or model based on the received feedback.
Dependencies are inferred from the claim text.