Ranging Apparatus Trajectory Diagram Generation
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Solution Overview
Problem
Existing ranging devices, such as measuring wheels, face challenges in accurately generating trajectory diagrams due to limitations in distance and angle measurement accuracy, leading to inefficiencies in route planning and mapping applications.
Innovation Solution
A method and apparatus that utilize a processor to obtain distance and angle information from a ranging apparatus, determine target sample points, and generate a trajectory diagram by connecting these points, with adjustments based on trajectory conditions to enhance accuracy and efficiency, allowing for real-time trajectory optimization and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a measuring wheel is used to measure distance and generate trajectory diagrams, then the basic distance measurement function is achieved, but the measurement precision and trajectory accuracy are insufficient
Solution Approach 1:
The patent combines multiple measurement functions (distance measurement, angle measurement, and trajectory generation) into a single integrated ranging device. The processor integrates data from both the distance sensor and angle sensor to comprehensively determine trajectory information, eliminating the need for separate measurement devices and improving overall measurement accuracy.
Solution Approach 2:
The patent introduces an angle sensor as an intermediary measurement component that works in conjunction with the distance sensor. The angle information serves as a mediator to correct and refine the trajectory data obtained from distance measurement alone, thereby improving measurement precision without significantly increasing system complexity.
2Productivity
If trajectory diagrams are created segment by segment using basic ranging data, then the trajectory can be generated, but the accuracy and efficiency are reduced
Solution Approach 1:
The patent performs preliminary trajectory planning by pre-determining multiple target sample points along the expected trajectory path. This allows the ranging device to efficiently collect data at predetermined locations rather than processing data segment by segment, thereby improving both generation efficiency and accuracy through proactive sampling strategy.
Solution Approach 2:
The patent implements a feedback mechanism where the processor continuously compares the measured trajectory data with the pre-determined target sample points. Based on this feedback, the system can adjust measurements and refine the trajectory diagram, improving accuracy while maintaining efficient processing through iterative optimization.
3Measurement precision
If multiple sensors and processing steps are added to improve accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent designs the ranging device with multi-functional capabilities where a single integrated system performs both distance measurement and angle measurement functions. The processor universally handles multiple types of sensor data and performs various processing tasks (trajectory generation, sample point determination, accuracy correction), reducing the need for separate specialized components and minimizing overall system complexity.
Data Source
AI summary
A trajectory generation method includes: obtaining distance information which a ranging apparatus has traveled; obtaining, from a sensor system, first angle information and second angle information corresponding to the ranging apparatus when the ranging apparatus is traveling in a space; determining a plurality of target sample points for a trajectory diagram of the space, and generating the trajectory diagram by connecting the plurality of target sampling points. Determining the target sample points includes: using a candidate sample point as one of the plurality of target sample points; in response to a trajectory adjustment condition not being satisfied, determining coordinates of the candidate sample point based on the distance information and the first angle information; and in response to the trajectory adjustment condition being satisfied, adjusting the candidate sample point based on the distance information, the first angle information, and the second angle information.