18063650. METHODS AND SYSTEMS FOR VEHICLE CONTROL UNDER DEGRADED LANE PERCEPTION RANGE simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

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METHODS AND SYSTEMS FOR VEHICLE CONTROL UNDER DEGRADED LANE PERCEPTION RANGE

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Tetyana V. Mamchuk of Walled Lake MI (US)

Paul A. Adam of Milford MI (US)

Reza Zarringhalam of Whitby (CA)

Zhi Li of Unioville (CA)

METHODS AND SYSTEMS FOR VEHICLE CONTROL UNDER DEGRADED LANE PERCEPTION RANGE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18063650 titled 'METHODS AND SYSTEMS FOR VEHICLE CONTROL UNDER DEGRADED LANE PERCEPTION RANGE

Simplified Explanation

The patent application describes methods and systems for controlling a vehicle by switching to a second processor executed mode when perception information extends closer to the vehicle than a predetermined point. In this mode, a lateral controller provides a closer Look Ahead point to the motion planner, which generates a desired trajectory based on perception data.

  • The system switches to a second processor executed mode when perception information extends closer to the vehicle than a predetermined point.
  • A lateral controller provides a closer Look Ahead point to the motion planner in the second mode.
  • The motion planner generates a desired trajectory based on perception data and the closer Look Ahead point.
  • Control commands for an EPS system are generated based on the error between the desired trajectory and the actual trajectory at the closer Look Ahead point.

Key Features and Innovation

  • Switching to a second processor executed mode based on perception information.
  • Lateral controller providing a closer Look Ahead point to the motion planner.
  • Motion planner generating a desired trajectory based on perception data and the closer Look Ahead point.
  • Control commands for an EPS system generated based on trajectory error.

Potential Applications

This technology can be applied in autonomous vehicles, advanced driver assistance systems, and vehicle safety systems.

Problems Solved

  • Efficient control of a vehicle based on perception information.
  • Improved trajectory planning in response to changing environmental conditions.

Benefits

  • Enhanced vehicle control and safety.
  • Improved response to dynamic driving situations.
  • Optimal trajectory planning for better driving performance.

Commercial Applications

  • Autonomous vehicle technology for enhanced safety and efficiency.
  • Advanced driver assistance systems for improved driving experience.
  • Vehicle safety systems for accident prevention.

Prior Art

Readers can explore prior research on vehicle control systems, autonomous driving technologies, and trajectory planning algorithms for related information.

Frequently Updated Research

Stay updated on advancements in autonomous vehicle technology, perception systems, and control algorithms for the latest developments in the field.

Questions about Vehicle Control Technology

How does this technology improve vehicle safety?

This technology enhances vehicle safety by enabling efficient control and trajectory planning based on real-time perception data.

What are the potential applications of this innovation beyond autonomous vehicles?

The innovation can also be applied in advanced driver assistance systems and vehicle safety technologies for improved driving performance and safety.


Original Abstract Submitted

Methods and systems of controlling a vehicle. The methods and systems include switching to a second processor executed mode in response to determining that a range of perception information extends to a range end point that is closer to the vehicle than a first Look Ahead (LA) point. In the second processor executed mode: a motion planner requests a lateral controller to provide a closer LA point relative to the vehicle. The lateral controller determines the closer LA point and sends the closer LA point to the motion planner. The lateral controller generates control commands for an EPS system based on an error between a desired trajectory and an actual trajectory at the closer LA point. The motion planner generates the desired trajectory based on perception data and the closer LA point.