Agricultural Vehicle Route Planning for Multi-Vehicle Collision Avoidance
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Solution Overview
Problem
Agricultural machines face challenges in determining accurate and efficient route plans in agricultural fields, particularly when operating autonomously, as existing systems fail to effectively account for other vehicles' locations and priorities, leading to potential collisions and suboptimal fuel usage.
Innovation Solution
A system comprising a controller associated with an agricultural vehicle that receives and processes other-vehicle-data and field-data to determine route-plan-data, allowing the vehicle to avoid other vehicles and modify its route in real-time, while prioritizing based on associated priority-values, and providing vehicle-control-instructions for steering and speed adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the agricultural vehicle operates autonomously using a predetermined route plan, then the operational efficiency is improved, but the risk of collision with other vehicles increases due to lack of real-time adaptation
Solution Approach 1:
The route plan is transformed from a static predetermined path to a dynamic adaptive route that automatically adjusts in real-time based on detected positions and priorities of other vehicles in the field, resolving the contradiction between operational efficiency and collision risk
Solution Approach 2:
The system continuously receives feedback data from other vehicles regarding their positions and priorities, and uses this feedback to modify the route plan in real-time, enabling autonomous vehicles to maintain efficiency while avoiding collisions through continuous environmental awareness
2Reliability
If the agricultural vehicle modifies its route plan in real-time to avoid other vehicles, then the safety is improved, but the operational time and fuel consumption may increase
Solution Approach 1:
The system changes the routing parameters dynamically by considering multiple factors including other vehicle positions, priorities, and the agricultural vehicle's current progress through the field, optimizing the modified route to minimize time loss while ensuring safety
Solution Approach 2:
The system proactively modifies the route plan in advance when potential conflicts with other vehicles are detected, rather than reacting after a collision risk arises, thereby reducing the need for emergency maneuvers that would consume additional time
3Reliability
If the system considers multiple vehicles' priorities and positions to determine routes, then the collision avoidance capability is improved, but the system complexity increases
Solution Approach 1:
The controller serves as an intermediary that receives standardized priority and position data from multiple vehicles and processes this information through a systematic evaluation framework, simplifying the complex multi-vehicle coordination problem into a manageable decision-making process
Data Source
AI summary
A system including a controller associated with an agricultural vehicle. The controller is configured to: receive other-vehicle-data that is representative of another vehicle that is in an agricultural field; and determine route-plan-data that is representative of a route to be taken by the agricultural vehicle in the agricultural field, based on the other-vehicle-data.