20240053166. METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Samuel Walker Beck of Dearborn MI (US)
Benjamin Isaacoff of Royal Oak MI (US)
Matthew Kelly Titsworth of Pflugerville TX (US)
Jasmine Kuo of Pflugerville TX (US)
METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240053166 titled 'METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS
Simplified Explanation
The abstract describes a method for defining map data used in controlling a vehicle, involving receiving telemetry data, determining distribution data of a path, generating lane line data and road edge data based on sample data and machine learning models, and storing the map data for vehicle control.
- Telemetry data is received by a processor.
- Distribution data of a path is determined based on the telemetry data.
- A plurality of sample data is determined using a trained machine learning model and the distribution data.
- Lane line data and road edge data are generated based on the sample data and a second machine learning model.
- The map data, including the lane line data and road edge data, is stored for controlling the vehicle.
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- Potential Applications
- Autonomous driving systems
- Advanced driver assistance systems (ADAS)
- Fleet management systems
- Problems Solved
- Enhancing accuracy and reliability of map data for vehicle control
- Improving navigation and positioning systems in vehicles
- Enhancing safety and efficiency in driving scenarios
- Benefits
- Increased precision in vehicle control
- Enhanced decision-making capabilities for autonomous vehicles
- Improved overall driving experience for users
Original Abstract Submitted
systems and method are provided for defining map data used in controlling a vehicle. in one embodiment, a method includes: receiving, by a processor, telemetry data; determining, by the processor, distribution data of a path based on the telemetry data; determining, by the processor, a plurality of sample data based on a trained machine learning model and the distribution data; generating, by the processor, at least one of lane line data and road edge data based on the sample data and a second machine learning model; and storing, by the processor, the map data including the lane line data and road edge data for use in controlling the vehicle.
