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Method and apparatus of obtaining feature information of simulated agents

  • US 10,417,358 B2
  • Filed: 09/26/2016
  • Issued: 09/17/2019
  • Est. Priority Date: 06/22/2016
  • Status: Active Grant
First Claim
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1. A method for testing an unmanned vehicle in a simulated traffic scenario, wherein the method comprises:

  • for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities and in testing, the number of real agents belonging to each class being greater than one;

    simulating one or more agents of one or more classes;

    for each agent class, respectively extracting representative feature information from feature information obtained for each real agent belonging to the class, and taking the extracted representative feature information as feature information of simulated agents belonging to this class in the simulated traffic scenario, the representative information being feature information that are classified as universal among the agents;

    generating a real traffic scenario using the real agents participating in traffic activities and in testing, forming a scenario map;

    obtaining the simulated traffic scenario by superimposing the simulated agents in the scenario map; and

    testing the unmanned vehicle in the simulated traffic scenario and improving the correctness of testing the unmanned vehicle.

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