17946790. OPTIMIZATION AND SELECTION OF COMPUTE PATHS FOR AN AUTONOMOUS VEHICLE simplified abstract (GM Cruise Holdings LLC)

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OPTIMIZATION AND SELECTION OF COMPUTE PATHS FOR AN AUTONOMOUS VEHICLE

Organization Name

GM Cruise Holdings LLC

Inventor(s)

Burkay Donderici of Burlingame CA (US)

OPTIMIZATION AND SELECTION OF COMPUTE PATHS FOR AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17946790 titled 'OPTIMIZATION AND SELECTION OF COMPUTE PATHS FOR AN AUTONOMOUS VEHICLE

Simplified Explanation

The abstract of the patent application describes systems and techniques for optimizing autonomous vehicle compute paths and identifying latency violations. The method involves identifying compute paths, testing simulation scenarios, and calculating safety and comfort parameters based on the simulation results.

  • Identifying compute paths for processing sensor data
  • Testing simulation scenarios with artificial delays
  • Calculating safety and comfort parameters based on simulation results

Potential Applications

The technology can be applied in the development and testing of autonomous vehicles, ensuring efficient and safe processing of sensor data.

Problems Solved

This technology addresses the need for optimizing compute paths in autonomous vehicles to prevent latency violations and ensure safety and comfort for passengers.

Benefits

The benefits of this technology include improved performance, increased safety, and enhanced comfort in autonomous vehicles.

Potential Commercial Applications

The technology can be utilized by companies involved in autonomous vehicle development, simulation software providers, and automotive manufacturers looking to enhance the efficiency and safety of autonomous vehicles.

Possible Prior Art

One possible prior art could be existing systems for testing and optimizing compute paths in autonomous vehicles, but the specific method described in this patent application may offer unique features and improvements.

Unanswered Questions

How does this technology compare to existing methods for optimizing compute paths in autonomous vehicles?

This article does not provide a direct comparison to existing methods for optimizing compute paths in autonomous vehicles. Further research or a comparative analysis would be needed to determine the advantages of this technology over existing methods.

What are the potential limitations or challenges in implementing this technology in real-world autonomous vehicles?

The article does not address potential limitations or challenges in implementing this technology in real-world autonomous vehicles. Factors such as scalability, compatibility with existing systems, and regulatory requirements could pose challenges that need to be explored further.


Original Abstract Submitted

Systems and techniques are provided for optimizing autonomous vehicle compute paths and identifying latency violations. An example method can include identifying at least one compute path for processing input sensor data by an autonomous vehicle, wherein the at least one compute path includes a set of nodes that are interconnected by one or more edges; implementing a first test iteration of at least one simulation scenario for testing the at least one compute path, wherein the first test iteration of the at least one simulation scenario applies a first artificial delay to at least one edge from the one or more edges; and calculating at least one of a safety parameter and a comfort parameter, wherein the safety parameter and the comfort parameter are based on a result of the at least one simulation scenario.