Sentiment-based navigation
AssigneeAT&T Intellectual Property I, L.P.
InventorsHoward Lang, Joseph Soryal
Life of this patent
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Abstract
Sentiment-based navigation is provided herein. A method can include extracting features of sensor data captured by a sensor associated with a vehicle, wherein the sensor data is representative of a subject selected from a group of subjects comprising an occupant of the vehicle and an environment in which the vehicle is located, resulting in extracted features. The method can further include determining sentiment data representative of an emotional condition of the occupant of the vehicle based on an analysis of the extracted features, and generating a navigation route for the vehicle from an origin point to a destination point based on the sentiment data.
Claims20
A method, comprising:
- extracting, by a first system comprising a processor, features of sensor data captured by a sensor associated with an autonomous vehicle, wherein the sensor data is representative of a subject selected from a group of subjects comprising an occupant of the autonomous vehicle and an environment in which the autonomous vehicle is located, resulting in extracted features;
- determining, by the first system, sentiment data representative of an emotional condition of the occupant of the autonomous vehicle based on an analysis of the extracted features;
- generating, by the first system based on image processing data derived from satellite imaging of an area associated with the autonomous vehicle, first partial decision data, wherein the image processing data is distributed among the first system and a second system that is not the first system;
- receiving, by the first system from the second system, second partial decision data, the second partial decision data being determined by the second system based on the image processing data;
- and
- automatically navigating, by the autonomous vehicle, according to a navigation route, wherein the navigation route is generated based on the sentiment data, the first partial decision data, and the second partial decision data, and wherein the navigation route is generated further based on information relating to presence of line markings on respective roadways associated with the navigation route.
A system of an autonomous vehicle, comprising:
- a processor;
- and
- a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:
- extracting features of data captured by a sensor associated with the autonomous vehicle, resulting in extracted data features, wherein the data captured by the sensor is representative of a subject selected from a group of subjects comprising an occupant of the autonomous vehicle and an environment in which the autonomous vehicle is located;
- generating condition data representative of an emotional condition of the occupant of the autonomous vehicle by analyzing the extracted data features;
- receiving, via a satellite communication system, image processing data derived from satellite image data for an area in which the autonomous vehicle is located, the image processing data being distributed among systems comprising the system and a remote system that is distinct from the system;
- generating, based on the image processing data, first partial decision data;
- receiving, from the remote system, second partial decision data determined by the remote system based on the image processing data;
- and
- automatically navigating the autonomous vehicle according to a navigation route, wherein the navigation route is created based on the condition data, the first partial decision data, and the second partial decision data, and wherein the navigation route is created further based on information relating to a dimension of the autonomous vehicle.
A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of a first system of an autonomous vehicle, facilitate performance of operations, the operations comprising:
- determining data features that are representative of sensor data captured by a sensor associated with the autonomous vehicle, the sensor data including data representative of a subject selected from a group of subjects comprising an occupant of the autonomous vehicle and an environment in which the autonomous vehicle is located;
- generating sentiment data representative of an emotional condition of the occupant of the autonomous vehicle according to the data features;
- determining, based on image processing data corresponding to satellite image data depicting an area in which the autonomous vehicle is located, first partial decision data, wherein the image processing data is distributed among systems comprising the first system and a second system that is not the first system;
- receiving, from the second system, second partial decision data, the second partial decision data being determined by the second system based on the image processing data;
- and automatically navigating the autonomous vehicle according to route data, wherein the route data is representative of a navigation route for the autonomous vehicle and is based on the sentiment data, the first partial decision data, and the second partial decision data, and wherein the route data representative of the navigation route is further based on information relating to a speed capability of the autonomous vehicle.
Dependencies are inferred from the claim text.