View-Based Agricultural Navigation With Reliability-Guided Manual Takeover
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Solution Overview
Problem
Current agricultural machinery automatic driving systems face limitations in complex terrains and environments, leading to reduced navigation accuracy and potential accidents, as they rely heavily on satellite positioning and sensors like LIDAR, which are not effective in all scenarios.
Innovation Solution
A view-based agriculture machinery driving method and system that collects ground image information to identify target operation areas, determines navigation routes, assesses route reliability, and seamlessly switches between automatic and manual driving based on the reliability of the navigation route, using image acquisition, operation area identification, navigation route determination, and manual/driving adjustment modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite positioning and LIDAR sensors are used for automatic driving, then positioning accuracy is improved, but the system fails in complex terrains and environments
Solution Approach 1:
The patent segments the navigation system into multiple independent modules: satellite positioning module, LIDAR sensing module, and visual recognition module. Each module operates independently to collect different types of data, which are then integrated to achieve reliable navigation in complex terrains where single-method systems fail
Solution Approach 2:
The patent merges satellite positioning, LIDAR sensing, and visual recognition into a unified navigation system. By combining these different sensing methods, the system overcomes the limitations of individual technologies and achieves both high positioning accuracy and adaptability to complex environments
2Productivity
If automatic driving is implemented, then operation efficiency is improved, but navigation reliability decreases in complex environments
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors navigation reliability by analyzing data from multiple sensors. When reliability drops below a threshold in complex environments, the system automatically switches from automatic to manual driving mode, ensuring both efficiency and safety
Solution Approach 2:
The patent makes the driving mode dynamic rather than fixed. The system can automatically switch between automatic driving and manual driving based on real-time environmental assessment and navigation reliability, allowing it to maintain high efficiency in suitable conditions while ensuring safety in complex terrains
3Device complexity
If navigation accuracy is reduced below threshold, then system simplicity is maintained, but accidents occur due to lack of detection and treatment
Solution Approach 1:
The patent performs preliminary assessment of navigation reliability before executing automatic driving. By evaluating the reliability threshold in advance and preparing manual takeover protocols, the system prevents accidents by detecting and treating potential safety issues before they occur
Solution Approach 2:
The patent introduces an intermediary reliability assessment mechanism that mediates between automatic driving control and manual intervention. This intermediary layer continuously monitors navigation accuracy and triggers appropriate responses, adding safety without requiring complex additional hardware
Data Source
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AI summary
A view-based method for controlling the driving of agricultural machinery includes collecting ground information from images; identifying a target operation area according to the ground image information; determining a navigation route for the agricultural machinery within the target operation area; and determining whether the navigation route is reliable; detecting manual driving signal of the user and allowing manual driving of the agricultural machinery according to the manual driving signal if the navigation route is not reliable; and determining driving adjustment parameters for the navigation route and current driving attitude if the navigation route is found reliable. A system for driving agricultural machinery, a device applying the method, and a non-volatile storage medium are also disclosed.