20240025448. AUTONOMOUS DRIVING EVALUATION USING DATA ANALYSIS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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AUTONOMOUS DRIVING EVALUATION USING DATA ANALYSIS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Yoshifumi Sakamoto of Shiga-ken (JP)

Kentaro Aota of Aichi (JP)

John Maxwell Cohn of Richmond VT (US)

Hardy Groeger of Baden-Wuerttemberg (DE)

AUTONOMOUS DRIVING EVALUATION USING DATA ANALYSIS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240025448 titled 'AUTONOMOUS DRIVING EVALUATION USING DATA ANALYSIS

Simplified Explanation

The abstract describes a computer-implemented method for evaluating the safety of autonomous vehicles. The method involves defining criteria for safety in a test space and dividing the test space into an intended test space and an unintended test space. The intended test space includes quantifiable characterizations for the autonomous vehicle, while the unintended test space includes non-quantifiable characterizations. The method also includes measuring the safety of the autonomous vehicles in the intended test space and applying the feedback from the unintended test space into the intended test space. The evaluation of autonomous vehicle safety is done using a combined simulation of peripheral vehicles and autonomous vehicles.

  • The method evaluates the safety of autonomous vehicles by defining criteria and dividing the test space.
  • The intended test space includes quantifiable characterizations for the autonomous vehicle.
  • The unintended test space includes non-quantifiable characterizations.
  • The safety of the autonomous vehicles in the intended test space is measured.
  • The feedback from the unintended test space is applied to the intended test space.
  • The evaluation of autonomous vehicle safety is done using a combined simulation of peripheral vehicles and autonomous vehicles.

Potential applications of this technology:

  • Testing and evaluating the safety of autonomous vehicles in a controlled environment.
  • Developing and improving safety standards for autonomous vehicles.
  • Assessing the performance and reliability of autonomous vehicle systems.

Problems solved by this technology:

  • Ensuring the safety of autonomous vehicles by evaluating their performance in different scenarios.
  • Identifying potential risks and vulnerabilities in autonomous vehicle systems.
  • Providing a standardized method for assessing the safety of autonomous vehicles.

Benefits of this technology:

  • Enhancing the overall safety of autonomous vehicles on the road.
  • Facilitating the development and deployment of autonomous vehicle technology.
  • Increasing public trust and acceptance of autonomous vehicles through rigorous safety evaluations.


Original Abstract Submitted

a computer implemented method for evaluating autonomous vehicle safety that includes defining criteria for safety of autonomous vehicles in a test space, and dividing the test space into an intended test space and a un-intended test space for the criteria for safety of autonomous vehicles. the intended test space includes characterizations for the autonomous vehicle that can be quantified, and the un-intended test space includes characterizations that are not quantifiable. the method further includes measuring the safety of the autonomous vehicles in the intended test space. the applying the un-intended test space is applied to the intended test space as feedback into the intended test space; and evaluating the intended test space including the feedback from the unintended test space using a combined simulation of peripheral vehicles and autonomous vehicles to provide the evaluation of autonomous vehicle safety.

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