Methods and systems for vehicle perception feedback to classify data representative of types of objects and to request feedback regarding such classifications
First Claim
1. A system in a vehicle, the system comprising:
- a display interface;
a perception system configured to receive data indicative of a surrounding environment of the vehicle, and to classify one or more portions of the data as being representative of a particular type of object based on parameters associated with a machine learning classifier, wherein the data indicative of the surrounding environment comprises point cloud data that is representative of the object; and
a feedback system configured to determine a confidence level associated with the classification by the perception system based on a relationship between features extracted from the point cloud data and expected characteristics of features for the particular type of object, to request via the display interface feedback from a user of the vehicle regarding the classification by the perception system responsive to determining that the confidence level is below a threshold, and to cause the parameters associated with the machine learning classifier to be modified based on information provided by the user in response to the request.
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Accused Products
Abstract
Aspects of the disclosure relate generally to methods and systems for improving object detection and classification. An example system may include a perception system and a feedback system. The perception system may be configured to receive data indicative of a surrounding environment of a vehicle, and to classify one or more portions of the data as representative of a type of object based on parameters associated with a machine learning classifier. The feedback system may be configured to request feedback regarding a classification of an object by the perception system based on a confidence level associated with the classification being below a threshold, and to cause the parameters associated with the machine classifier to be modified based on information provided in response to the request.
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Citations
18 Claims
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1. A system in a vehicle, the system comprising:
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a display interface; a perception system configured to receive data indicative of a surrounding environment of the vehicle, and to classify one or more portions of the data as being representative of a particular type of object based on parameters associated with a machine learning classifier, wherein the data indicative of the surrounding environment comprises point cloud data that is representative of the object; and a feedback system configured to determine a confidence level associated with the classification by the perception system based on a relationship between features extracted from the point cloud data and expected characteristics of features for the particular type of object, to request via the display interface feedback from a user of the vehicle regarding the classification by the perception system responsive to determining that the confidence level is below a threshold, and to cause the parameters associated with the machine learning classifier to be modified based on information provided by the user in response to the request. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method comprising:
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receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining, by a processor, one or more portions of the point cloud data that are representative of an object; determining, by the processor, a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining, by the processor, a confidence level associated with the determination of the type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising:
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receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining one or more portions of the point cloud data that are representative of an object; determining a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining a confidence level associated with the determination of the particular type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object. - View Dependent Claims (16, 17, 18)
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Specification