18550638. SEGMENTING TRAJECTORY DATA simplified abstract (Robert Bosch GmbH)
Contents
SEGMENTING TRAJECTORY DATA
Organization Name
Inventor(s)
SEGMENTING TRAJECTORY DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18550638 titled 'SEGMENTING TRAJECTORY DATA
Simplified Explanation:
This patent application describes a method of segmenting trajectory data using a controller. The trajectory data is analyzed to identify straight sections and curves, which are then used to determine segmentation points for dividing the data into segments.
Key Features and Innovation:
- Application of Douglas-Peucker algorithm to identify straight sections in trajectory data.
- Detection of curves in trajectory data using specific algorithms.
- Replacement of segmentation points with starting and end points of curves.
- Segmentation of trajectory data based on identified segmentation points, starting points, and end points.
Potential Applications: This technology can be used in various fields such as:
- Transportation for route optimization.
- Sports analytics for tracking player movements.
- Environmental monitoring for tracking wildlife movements.
Problems Solved: This technology addresses the following problems:
- Efficient segmentation of trajectory data.
- Accurate identification of straight sections and curves.
- Improved analysis of complex trajectory patterns.
Benefits:
- Enhanced data visualization.
- Improved data analysis accuracy.
- Streamlined trajectory data processing.
Commercial Applications: Potential commercial applications include:
- GPS tracking systems.
- Autonomous vehicle navigation.
- Logistics and supply chain management.
Prior Art: Prior research in trajectory data segmentation and analysis includes studies on algorithms like Douglas-Peucker and curve detection methods.
Frequently Updated Research: Ongoing research in trajectory data analysis focuses on enhancing segmentation algorithms and improving curve detection techniques.
Questions about Trajectory Data Segmentation: 1. What are the key challenges in segmenting trajectory data accurately? 2. How does this technology improve the efficiency of trajectory data analysis?
Original Abstract Submitted
A method of segmenting trajectory data using a controller. Trajectory data with a plurality of points are received. A Douglas-Peucker algorithm is applied to the trajectory data in order to ascertain substantially straight sections separated by segmentation points. An algorithm is used on the trajectory data in order to detect curves, in the form of starting points and end points of curves. At least one segmentation point ascertained in an interval between a starting point and an end point of a curve is replaced with the starting point and the end point. The trajectory data are segmented at the ascertained segmentation points, the starting points and the end points. A controller, a computer program, and a machine-readable storage medium are also described.
