20240036203. METHODS AND SYSTEMS FOR GEO-REFERENCING MAPPING SYSTEMS simplified abstract (Carnegie Mellon University)

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METHODS AND SYSTEMS FOR GEO-REFERENCING MAPPING SYSTEMS

Organization Name

Carnegie Mellon University

Inventor(s)

Ji Zhang of Pittsburgh PA (US)

Calvin Wade Sheen of Chula Vista CA (US)

Kevin Joseph Dowling of Gibsonia PA (US)

METHODS AND SYSTEMS FOR GEO-REFERENCING MAPPING SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240036203 titled 'METHODS AND SYSTEMS FOR GEO-REFERENCING MAPPING SYSTEMS

Simplified Explanation

The patent application describes a method for analyzing a trajectory dataset consisting of geospatial points acquired along a trajectory. The dataset includes coordinates and orientation attributes for each point. The method involves segmenting the dataset into multiple segments and determining relative constraints for each segment. These constraints are then used to determine the relative position of two or more segments.

  • The method analyzes a trajectory dataset consisting of geospatial points acquired along a trajectory.
  • The dataset includes coordinates (x, y, z) and orientation attributes for each point.
  • The dataset is segmented into multiple segments.
  • Relative constraints are determined for each segment.
  • The determined relative constraints are used to determine the relative position of two or more segments.

Potential Applications:

  • Autonomous vehicles: This technology can be used to analyze the trajectory of vehicles and determine their relative positions, which can be valuable for autonomous navigation and collision avoidance systems.
  • Drone navigation: By analyzing the trajectory of drones, this technology can assist in determining their relative positions and optimizing their flight paths.
  • Sports analytics: Trajectory analysis can be applied to sports datasets to track the movement of players and determine their relative positions on the field, enabling advanced analytics and insights.

Problems Solved:

  • Relative position determination: The method solves the problem of determining the relative position of segments within a trajectory dataset, which can be challenging due to variations in orientation and coordinates.
  • Segmentation: By segmenting the trajectory dataset, the method allows for more focused analysis and enables the determination of relative constraints for each segment.

Benefits:

  • Improved navigation and collision avoidance: By accurately determining the relative positions of segments, this technology can enhance the navigation and collision avoidance capabilities of autonomous vehicles and drones.
  • Advanced analytics: The method enables advanced analysis of trajectory datasets, providing valuable insights in various fields such as sports analytics.
  • Efficient data processing: By segmenting the dataset and utilizing relative constraints, the method optimizes the processing of trajectory data, allowing for faster and more efficient analysis.


Original Abstract Submitted

a method includes receiving a trajectory dataset including a plurality of geospatial points forming a point cloud and acquired along a trajectory wherein for each of the plurality of geospatial points there is a defined an x-coordinate, a y-coordinate and a z-coordinate and at least one mapping device orientation attribute, segmenting the trajectory dataset into a plurality of segments, determining at least one relative constraint for each of the plurality of segments and utilizing, for each of the plurality of segments, at least one of the determined relative constraints to determine a relative position of at least two of the plurality of segments.

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