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UTILIZING QUALITATIVE MODELS TO PROVIDE TRANSPARENT DECISIONS FOR AUTONOMOUS VEHICLES

  • US 20190322287A1
  • Filed: 04/19/2019
  • Published: 10/24/2019
  • Est. Priority Date: 04/23/2018
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving, by a device, quantitative data from sensors associated with an autonomous vehicle traveling on a road with other vehicles and from sensors associated with another source;

    processing, by the device, the quantitative data, with a first qualitative model, to determine distances between the autonomous vehicle and the other vehicles;

    processing, by the device, the quantitative data, with a second qualitative model, to determine relative orientations between the autonomous vehicle and the other vehicles;

    generating, by the device, a conceptual neighborhood graph, based on a third qualitative model;

    identifying, by the device, a subset of the conceptual neighborhood graph that includes information indicating potential collisions between the autonomous vehicle and the other vehicles;

    determining, by the device, relative trajectories between the autonomous vehicle and the other vehicles based on the distances, the relative orientations, and the subset of the conceptual neighborhood graph;

    determining, by the device, a decision for the autonomous vehicle based on the distances, the relative orientations, and the relative trajectories; and

    providing, by the device and to the autonomous vehicle, information instructing the autonomous vehicle to implement the decision,the autonomous vehicle to implement the decision based on the information instructing the autonomous vehicle to implement the decision.

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