18441846. Method for Behavior Planning of an Ego Vehicle as Part of a Traffic Scene simplified abstract (Robert Bosch GmbH)

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Method for Behavior Planning of an Ego Vehicle as Part of a Traffic Scene

Organization Name

Robert Bosch GmbH

Inventor(s)

Juergen Mathes of Stuttgart-Moehringen (DE)

Markus Mazzola of Tuebingen (DE)

Martin Stoll of Renningen (DE)

Maxim Dolgov of Renningen (DE)

Method for Behavior Planning of an Ego Vehicle as Part of a Traffic Scene - A simplified explanation of the abstract

This abstract first appeared for US patent application 18441846 titled 'Method for Behavior Planning of an Ego Vehicle as Part of a Traffic Scene

    • Simplified Explanation:**

The patent application describes a computer-implemented method for planning the behavior of a self-driving vehicle in a traffic scene. The method involves generating a representation of the current traffic scene using sensor data, predicting the future development of the scene, and planning driving maneuvers based on this prediction.

    • Key Features and Innovation:**
  • Computer-implemented method for planning self-driving vehicle behavior in a traffic scene.
  • Utilizes in-vehicle sensor system data to generate a scene representation.
  • Predicts future development of the traffic scene.
  • Plans driving maneuvers based on the predicted future development.
  • Considers the effects of the future development on the sensor system's visual range.
    • Potential Applications:**

This technology can be applied in the development of autonomous vehicles, traffic management systems, and advanced driver assistance systems.

    • Problems Solved:**

Addresses the need for efficient and safe planning of self-driving vehicle behavior in complex traffic scenarios.

    • Benefits:**
  • Enhances the safety and efficiency of self-driving vehicles.
  • Improves traffic flow and reduces the risk of accidents.
  • Enables better decision-making in dynamic traffic environments.
    • Commercial Applications:**

Potential commercial applications include autonomous vehicle technology companies, transportation agencies, and automotive manufacturers looking to enhance their driver assistance systems.

    • Questions about Self-Driving Vehicle Behavior Planning:**

1. How does the method predict the future development of the traffic scene? 

  - The method predicts the future development based on the generated scene representation and sensor data.

2. What are the potential benefits of planning driving maneuvers based on the predicted future development of the traffic scene? 

  - Planning driving maneuvers based on predictions can improve safety, efficiency, and decision-making in dynamic traffic environments.


Original Abstract Submitted

A computer-implemented method is for planning the behavior of an ego vehicle as part of a traffic scene. The ego vehicle is equipped with an in-vehicle sensor system whose visual range is influenced by a respective current traffic scene. The method includes generating a scene representation of the current traffic scene using scene-specific sensor data captured by the in-vehicle sensor system, and predicting a future development of the traffic scene based on the generated scene representation. The method further includes planning driving maneuvers taking into account the prediction of the future development of the traffic scene. The method predicts the effects of the future development of the traffic scene on the visual range of the in-vehicle sensor system.

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