Autonomous Vehicle Control System Using Simulated Path Verification
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Solution Overview
Problem
Current autonomous vehicle control systems are highly specific to the type of vehicle and mission, requiring separate systems and methods for each application, lacking a universal approach.
Innovation Solution
A method and system that involves generating a simulated vehicle path and orientation, receiving user verification, and producing control commands for autonomous vehicles, utilizing a computer system with input and display devices to control autonomous vehicles across various applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a specialized autonomous control system is developed for each specific vehicle type and mission, then the control precision and reliability for that specific application is improved, but the device complexity and development time increase significantly
Solution Approach 1:
The patent implements a universal autonomous control system that can adapt to multiple vehicle types and mission profiles through configurable parameters and modular architecture. The system uses a common control framework that can be customized for different applications without requiring separate dedicated systems, thereby reducing overall complexity while maintaining reliability through proven reusable components.
Solution Approach 2:
The control system is divided into modular functional blocks that can be independently configured and tested. This segmentation allows the system to maintain high reliability through modular design while reducing complexity by allowing selective activation of only the modules needed for each specific vehicle type and mission, rather than requiring a complete custom-built system for each application.
2Adaptability or versatility
If a customized control system is designed for each autonomous vehicle application, then the adaptability to specific mission requirements is improved, but the ease of manufacture and deployment deteriorates
Solution Approach 1:
The system provides a universal platform that can be deployed across multiple vehicle types and mission scenarios. Through configurable parameters and selectable mission profiles, the same base system can be adapted to different applications without requiring custom manufacturing for each case, significantly improving ease of manufacture and deployment while maintaining mission-specific adaptability.
Solution Approach 2:
The control system incorporates dynamic reconfiguration capabilities that allow it to adapt to different mission requirements through software configuration rather than physical modification. This enables the system to be manufactured once and then dynamically adapted to various missions through parameter settings, improving both ease of manufacture and adaptability simultaneously.
3Manufacturing precision
If separate control systems are developed for different autonomous vehicle types, then the optimization for specific vehicle characteristics is improved, but the loss of time for system development increases
Solution Approach 1:
The system incorporates pre-configured mission profiles and vehicle templates that have been optimized in advance for common vehicle types and mission scenarios. This preliminary preparation allows rapid deployment with minimal development time while maintaining optimization for specific characteristics, as the foundational optimization work has already been completed during system design rather than during each new deployment.
Solution Approach 2:
By creating a universal control platform that can accommodate multiple vehicle types through configuration rather than custom development, the system eliminates the need to repeat the entire development process for each new application. The pre-built universal framework maintains optimization capabilities while dramatically reducing development time compared to creating separate specialized systems.
Data Source
AI summary
A method for controlling an autonomous vehicle. Data relating to a plurality of proposed vehicle locations is received and a simulated vehicle path based on the received data is generated. A simulated vehicle orientation for at least one point on the simulated vehicle path is determined and presented in a user-discernable form. User verification of the simulated vehicle orientation for at least one point on the simulated vehicle path is received. Approved vehicle control commands from the simulated vehicle path and simulated vehicle orientation are produced such that the approved vehicle control commands control the autonomous vehicle to follow the simulated vehicle path and the simulated vehicle orientation.