18159370. LANE EDGE FUSION SYSTEM FOR AN AUTONOMOUS VEHICLE simplified abstract (GM Global Technology Operations LLC)

LANE EDGE FUSION SYSTEM FOR AN AUTONOMOUS VEHICLE

Organization Name

GM Global Technology Operations LLC

Inventor(s)

Brent Navin Roger Bacchus of Sterling Heights MI (US)

LANE EDGE FUSION SYSTEM FOR AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18159370 titled 'LANE EDGE FUSION SYSTEM FOR AN AUTONOMOUS VEHICLE

Simplified Explanation: The patent application describes a system for an autonomous vehicle that fuses lane edge data from perception and map sources using an implicit moving least squares approach.

Key Features and Innovation:

• System for autonomous vehicles to combine lane edge data from perception and map sources.
• Derives map lane edge points and perception lane edge points to select an evaluation point.
• Fits an implicit function for the evaluation point using an implicit moving least squares approach.
• Builds a fused lane edge by setting a point on the implicit curve as one of the fused lane edge points.

Potential Applications: This technology can be used in autonomous vehicles for accurate lane detection and positioning on roadways.

Problems Solved:

• Enhances the accuracy of lane edge detection in autonomous vehicles.
• Improves the reliability of lane keeping systems in self-driving cars.

Benefits:

• Increased safety on the roads by ensuring precise lane positioning.
• Enhances the overall performance of autonomous vehicles in navigating complex roadways.

Commercial Applications: Title: Advanced Lane Edge Fusion System for Autonomous Vehicles This technology can be utilized by companies developing autonomous vehicles for improved lane keeping capabilities, leading to safer and more efficient self-driving cars in the market.

Prior Art: Readers can explore prior research on lane detection systems in autonomous vehicles and implicit function fitting approaches in computer vision.

Frequently Updated Research: Researchers are continually exploring new methods to enhance lane detection accuracy in autonomous vehicles, including the fusion of perception and map data.

Questions about Lane Edge Fusion System for Autonomous Vehicles: 1. How does the implicit moving least squares approach improve lane edge fusion in autonomous vehicles? 2. What are the potential challenges in implementing this technology in real-world driving scenarios?

Original Abstract Submitted

A lane edge fusion system for an autonomous vehicle includes one or more controllers executing instructions to receive perception data and map data of a roadway the autonomous vehicle is traveling along. The one or more controllers derive a plurality of map lane edge points from the map data and a plurality of perception lane edge points from the perception data and select an evaluation point based on the plurality of map lane edge points and the plurality of perception lane edge points. The one or more controllers fit an implicit function for the evaluation point based on an implicit moving least squares approach. The one or more controllers build a fused lane edge by setting a point on the implicit curve as one of a plurality fused lane edge points.