Vehicle Navigation Guidance System Automatic Calibration
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Solution Overview
Problem
Current vehicle navigation guidance systems for agricultural and engineering machinery lack precision and efficiency in navigation control, requiring complex installation and calibration, and are prone to calibration errors, which affects the accuracy and reliability of automatic driving.
Innovation Solution
A vehicle navigation guidance system that includes a navigation controller, steering angle sensor, and motor steering controller, utilizing GNSS positioning, IMU sensors, and a magnetic encoder for precise steering control, with automatic calibration features to reduce installation complexity and improve positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex calibration procedures are used to improve positioning accuracy, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system performs automatic self-calibration by utilizing the vehicle's own motion data from IMU sensors and positioning data from GNSS receivers to calculate and correct sensor installation errors without requiring external calibration equipment or complex manual procedures
Solution Approach 2:
The system performs calibration automatically during the vehicle's normal operation or before actual navigation tasks, preparing the sensor data in advance so that accurate positioning can be achieved without complex real-time calibration procedures
2Measurement precision
If complex calibration procedures are used to improve positioning accuracy, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically calibrates itself using data from its own sensors during normal operation, eliminating the need for operators to perform complex manual calibration procedures or specialized installation steps
Solution Approach 2:
The system replaces manual mechanical calibration procedures with automated computational calibration using sensor fusion algorithms that process IMU and GNSS data to determine sensor installation parameters
3Productivity
If traditional navigation control is used, then device complexity is maintained, but productivity and energy efficiency deteriorate
Solution Approach 1:
The system continuously receives feedback from IMU sensors and GNSS receivers about the vehicle's position, attitude, and motion state, and uses this feedback to automatically adjust navigation guidance and steering control in real-time, improving navigation efficiency through closed-loop control
Solution Approach 2:
The system merges multiple sensor types (GNSS receivers, IMU sensors, steering angle sensors) and integrates their data through sensor fusion algorithms to achieve accurate navigation and control, improving productivity by combining multiple functions into a unified system
Data Source
AI summary
Disclosed are a vehicle navigation guidance system and a vehicle. The system includes: a navigation controller, a steering angle sensor, a motor steering controller and a display controller. The steering angle sensor is communicatively connected to the navigation controller, and is configured to acquire rotational angular velocity information of a wheel relative to a vehicle body, and output the angular velocity information to the navigation controller. The navigation controller is configured to output navigation guidance information according to positioning information and the angular velocity information, where the navigation controller includes a first positioning device, and the first positioning device is configured to acquire the positioning information. The motor steering controller is communicatively connected to the navigation controller, and is configured to perform steering control according to the navigation guidance information. The display controller is communicatively connected to the navigation controller, and is configured to display the navigation guidance information.