Predefined Vehicle Path Navigation With Distance Database Feedback
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Solution Overview
Problem
Existing vehicle navigation methods using radio transceivers have low precision, which is inadequate for industrial applications requiring high-precision navigation in predefined paths due to limited driving space.
Innovation Solution
A method involving the generation of a distance database by measuring and associating traveled distances and transceiver signal powers with predefined points, using iterative navigation processes and extended Kalman filtering for precise vehicle positioning and steering adjustments to navigate the vehicle along a predefined path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radio transceivers are used for vehicle navigation, then the navigation system can be implemented, but the position estimation precision is low
Solution Approach 1:
The patent combines multiple navigation approaches by integrating radio transceiver-based position estimation with predefined path constraints and iterative optimization. The system merges the flexibility of radio navigation with the precision of path-following algorithms to achieve both implementability and accuracy in industrial vehicle navigation.
2Measurement precision
If high-precision navigation is required in predefined paths, then navigation accuracy improves, but the complexity of the navigation system increases
Solution Approach 1:
The system performs preliminary actions by pre-defining paths with multiple predefined points before vehicle navigation. The distance database is pre-established with expected distances between fixed transceivers and predefined points, allowing the iterative optimization process to focus only on precision adjustment rather than complete path planning, thus reducing real-time computational complexity.
Solution Approach 2:
The patent implements feedback through an iterative navigation process that continuously compares estimated distances from radio transceivers with expected distances from the distance database. The system calculates estimation errors and uses these feedback signals to adjust position estimates and steering commands, achieving high precision through continuous refinement rather than complex single-step calculations.
3Measurement precision
If iterative navigation processes are used to improve precision, then navigation accuracy increases, but the computation time increases
Solution Approach 1:
The iterative navigation process applies partial action by performing a limited number of optimization iterations rather than exhaustive computation. The system stops the iterative process when a termination condition is met (such as maximum iterations or sufficient precision threshold), achieving adequate precision without unnecessary computational overhead that would increase computation time.
Data Source
AI summary
A method for navigating a vehicle through a predefined path in an environment. The predefined path includes a plurality of predefined points. The method includes generating a distance database, enabling the predefined path by enabling each of the plurality of predefined points, navigating the vehicle to a first point, and navigating the vehicle from the first point to a second point. The distance database is associated with the predefined path. The first point and the second point are located on the predefined path. Navigating the vehicle from the first point to the second point includes repeating an iterative navigation process until a termination condition is satisfied. The termination condition includes a total traveled distance of the vehicle obtained from odometer data of the vehicle exceeding a termination threshold.