18089279. POINT CLOUD POSITIONING ERROR DETECTION METHOD AND SYSTEM simplified abstract (INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE)

POINT CLOUD POSITIONING ERROR DETECTION METHOD AND SYSTEM

Organization Name

INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor(s)

Wei-Yuan Hsieh of Taipei City (TW)

Ming-Xuan Wu of New Taipei City (TW)

Chia-Jui Hu of New Taipei City (TW)

POINT CLOUD POSITIONING ERROR DETECTION METHOD AND SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18089279 titled 'POINT CLOUD POSITIONING ERROR DETECTION METHOD AND SYSTEM

Simplified Explanation

The patent application describes a method for detecting positioning errors in a point cloud, which involves obtaining point data, registering it with a target point cloud map, selecting specific data points, calculating matching scores, and determining localization fault detection results based on the intersection of matching scores and effective values.

• Method for point cloud positioning error detection:

   - Obtain first point data and target point cloud map
   - Register data to obtain second point data
   - Select specific data points and calculate matching scores
   - Determine localization fault detection results based on matching scores and effective values

• • Potential Applications:**

This technology could be applied in various industries such as autonomous vehicles, robotics, augmented reality, and virtual reality for accurate positioning and navigation.

• • Problems Solved:**

1. Detection of positioning errors in point cloud data 2. Improved accuracy in localization and mapping applications

• • Benefits:**

1. Enhanced precision in point cloud positioning 2. Increased reliability in navigation systems 3. Reduction of errors in mapping and localization tasks

• • Potential Commercial Applications of Point Cloud Positioning Error Detection Technology:**

Optimizing logistics operations, enhancing indoor navigation systems, improving virtual reality experiences, and advancing autonomous vehicle technology.

• • Possible Prior Art:**

Prior art in the field of point cloud processing and error detection methods may include research papers, patents, and commercial products related to point cloud mapping and localization technologies.

• • Unanswered Questions:**

• • 1. How does this method compare to existing point cloud error detection techniques in terms of accuracy and efficiency?**

This article does not provide a direct comparison with existing techniques in the field.

• • 2. Are there any limitations or constraints in the implementation of this method in real-world applications?**

The article does not address potential challenges or limitations that may arise when implementing this technology in practical scenarios.

Original Abstract Submitted

A point cloud positioning error detection method, performed by a processing device, includes: obtaining a plurality of pieces of first point data and a target point cloud map, wherein the target point cloud map includes a plurality of pieces of target point data, registering the first point data and the target point data to obtain a plurality of pieces of second point data, selecting a plurality of pieces of third point data from the second point data according to a first default distance, calculating a plurality of matching scores of the third point data relative to the target point data, obtaining a plurality of step vectors corresponding to the third point data, respectively, when said registering converges, and obtaining a plurality of effective values according to directions of the step vectors, and outputting a localization fault detection result based on an intersection of the matching scores and the effective values.