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US 2020/0401149 A1Published application
Corner case detection and collection for a path planning system
AssigneesVolkswagen Aktiengesellschaft, Audi AG, Porsche AG
InventorsXinwei GONG, Sai Prasad NOOKA
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Abstract
Disclosed embodiments provide systems and methods for detecting and storing information describing errors in a predictive path planning functionality of a neural network.
Claims28
Transportation vehicle equipment for detecting errors in a path predicting neural network, the equipment comprising:
- one or more sensors disposed on a transportation vehicle for acquiring data describing a roadway and a reference path taken by the transportation vehicle;
- a processor and memory;
- at least one neural network for predicting one or more predicted paths for the transportation vehicle;
- and
- means for evaluating the one or more predicted paths to detect one or more errors in the predicting operation wherein the one or more errors include an indication that the one or more predicted paths of the path planning system deviate from the reference path.
2 more elements
A method of error detection for a path predicting neural network, the method comprising:
- analyzing data describing a roadway acquired by one or more sensors disposed on a transportation vehicle;
- predicting with at least one neural network one or more predicted paths for the transportation vehicle;
- acquiring data describing a reference path taken by the transportation vehicle;
- and
- evaluating the one or more predicted paths to detect one or more errors in the predicting operation wherein the one or more errors include an indication that the one or more predicted paths of the path planning system deviate from the reference path.
2 more elements
A computing system for planning a path of a vehicle, comprising:
- at least one memory configured to receive sensor data indicative of a reference path for the vehicle;
- at least one processor communicatively coupled to the at least one memory, wherein the at least one processor is configured to execute program instructions to cause the system to perform the steps comprising:
- predicting one or more predicted paths for the vehicle by at least one neural network;
- detecting a deviation from the one or more predicted paths;
- determining a corner case based on the reference path and the detected deviation;
- storing the corner case;
- and
- training the at least one neural network with the stored corner case.
5 more elements
Dependencies are inferred from the claim text.