View source for 17819881. METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

=METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS=


==Organization Name==

[[:Category:GM GLOBAL TECHNOLOGY OPERATIONS LLC|GM GLOBAL TECHNOLOGY OPERATIONS LLC]]


[[Category:GM GLOBAL TECHNOLOGY OPERATIONS LLC]]

==Inventor(s)==

[[:Category:Samuel Walker Beck of Dearborn MI (US)|Samuel Walker Beck of Dearborn MI (US)]][[Category:Samuel Walker Beck of Dearborn MI (US)]]

[[:Category:Benjamin Isaacoff of Royal Oak MI (US)|Benjamin Isaacoff of Royal Oak MI (US)]][[Category:Benjamin Isaacoff of Royal Oak MI (US)]]

[[:Category:Matthew Kelly Titsworth of Pflugerville TX (US)|Matthew Kelly Titsworth of Pflugerville TX (US)]][[Category:Matthew Kelly Titsworth of Pflugerville TX (US)]]

[[:Category:Jasmine Kuo of Pflugerville TX (US)|Jasmine Kuo of Pflugerville TX (US)]][[Category: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 17819881 titled 'METHODS AND SYSTEMS FOR GENERATING LANE LINE AND ROAD EDGE DATA USING EMPIRACAL PATH DISTRIBUTIONS

==Simplified Explanation==

**Explanation:**
The patent application describes a method for defining map data used in controlling a vehicle. This method involves receiving telemetry data, determining distribution data of a path, generating sample data based on machine learning models, generating lane line data and road edge data based on the sample data, and storing the map data for vehicle control.

**Bullet Points:**
* Method involves receiving telemetry data and determining distribution data of a path.
* Sample data is generated based on a trained machine learning model and distribution data.
* Lane line data and road edge data are generated based on sample data and a second machine learning model.
* Map data, including lane line data and road edge data, is stored for vehicle control.

**Potential Applications:**
- Autonomous driving systems
- Advanced driver assistance systems
- Fleet management systems

**Problems Solved:**
- Accurate mapping data for vehicle control
- Integration of machine learning models for map data generation

**Benefits:**
- Improved accuracy in vehicle control
- Enhanced safety features in vehicles
- Efficient navigation systems


==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.



[[Category:G01C21/00]]
[[Category:B60W60/00]]