Intel corporation (20240212204). HIERARCHICAL SEGMENT-BASED MAP OPTIMIZATION FOR LOCALIZATION AND MAPPING SYSTEM simplified abstract
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HIERARCHICAL SEGMENT-BASED MAP OPTIMIZATION FOR LOCALIZATION AND MAPPING SYSTEM
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HIERARCHICAL SEGMENT-BASED MAP OPTIMIZATION FOR LOCALIZATION AND MAPPING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212204 titled 'HIERARCHICAL SEGMENT-BASED MAP OPTIMIZATION FOR LOCALIZATION AND MAPPING SYSTEM
The patent application describes techniques for map optimization in a localization and mapping system.
- Segmentation of trajectory into head, interior, and tail parts
- Global optimization process based on frames in head and tail parts
- Estimation of optimized mapping results for frames in the interior part
- Updating the map based on optimized mapping results for each segment
Potential Applications: - Autonomous vehicles - Robotics - Augmented reality
Problems Solved: - Enhancing accuracy of mapping systems - Improving localization in dynamic environments
Benefits: - Increased efficiency in mapping processes - Enhanced performance of localization systems
Commercial Applications: Title: "Enhanced Mapping Technology for Autonomous Vehicles" This technology can be utilized in the development of autonomous vehicles for improved navigation and mapping capabilities, leading to safer and more efficient transportation systems.
Questions about Map Optimization Technology: 1. How does map optimization benefit autonomous vehicles in terms of navigation accuracy? - Map optimization ensures that the mapping system provides accurate and reliable data for autonomous vehicles to navigate effectively in various environments.
2. What are the key differences between traditional mapping methods and the map optimization technique described in the patent application? - The patent application introduces a segmentation and optimization process that enhances the accuracy and efficiency of mapping systems compared to traditional methods.
Original Abstract Submitted
the disclosure provides techniques for map optimization for a localization and mapping system. the map optimization method includes segmenting, based on a preset segmentation condition, a trajectory tracked by the localization and mapping system to obtain a plurality of segments of the trajectory, each segment being partitioned into a head part, an interior part and a tail part; performing a global optimization process based on frames in the head and tail parts of each segment to obtain optimized mapping results for the frames in the head and tail parts of the segment; estimating optimized mapping results for frames in the interior part of each segment based on the optimized mapping results for the frames in the head and tail parts of the segment; and updating a map built by the localization and mapping system according to the optimized mapping results for the frames in each segment.
