EMTECH GROUP INC. (20240219196). SYSTEM AND METHOD FOR VALIDATING HIGH-DEFINITION MAPS simplified abstract
SYSTEM AND METHOD FOR VALIDATING HIGH-DEFINITION MAPS
Organization Name
Inventor(s)
Ansh David of Richmond Hill (CA)
Michael Gailling of Oshawa (CA)
Farsam Farzadpour of Aurora (CA)
Spencer Reuben of Holland Landing (CA)
Toni Jardini of Niagara Falls (CA)
SYSTEM AND METHOD FOR VALIDATING HIGH-DEFINITION MAPS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240219196 titled 'SYSTEM AND METHOD FOR VALIDATING HIGH-DEFINITION MAPS
The abstract describes systems and methods for validating maps for use with autonomous vehicles. Variabilities between an HD map and previous versions may be identified, and test cases generated based on the map, testing requirements, and validated lane segments. An optimized set of test cases is selected based on variabilities and unvalidated lane segments, which are then subdivided among multiple execution instances for parallel execution.
- Identification of variabilities between HD maps and previous versions
- Generation of test cases based on the HD map, testing requirements, and validated lane segments
- Selection of an optimized set of test cases based on variabilities and unvalidated lane segments
- Subdivision of test cases for parallel execution
- Validation of maps for use with autonomous vehicles
Potential Applications: - Autonomous vehicle navigation systems - Transportation and logistics industries - Urban planning and infrastructure development
Problems Solved: - Ensuring accuracy and reliability of maps for autonomous vehicles - Streamlining the validation process for HD maps - Enhancing safety and efficiency of autonomous vehicle operations
Benefits: - Improved accuracy and reliability of maps - Enhanced safety and efficiency of autonomous vehicles - Streamlined validation process for HD maps
Commercial Applications: Title: "Enhanced Validation System for Autonomous Vehicle Maps" This technology can be applied in the development and deployment of autonomous vehicle systems, particularly in industries such as transportation, logistics, and urban planning. The streamlined validation process and improved accuracy of maps can lead to safer and more efficient autonomous vehicle operations, making it a valuable tool for companies in the autonomous vehicle sector.
Questions about the technology: 1. How does this technology improve the accuracy and reliability of maps for autonomous vehicles? 2. What are the potential implications of using this system in urban planning and infrastructure development?
Original Abstract Submitted
systems and methods for validating maps for use with autonomous vehicles are provided. variabilities between an hd map and previous versions of the hd map may be identified. test cases may be generated based on the hd map, testing requirements, and previously validated lane segments. an optimized set of test cases may be selected based on variabilities and unvalidated lane segments in the hd map. the optimized set of test cases may be subdivided among a plurality of execution instances which may be executed in parallel.