Autonomous Construction Vehicle Dispatch Control for Collision Avoidance
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Solution Overview
Problem
Manned construction vehicles face inefficiencies, high energy consumption, and high labor costs, necessitating the development of autonomous construction vehicles that require optimized path planning to avoid collisions and ensure construction efficiency.
Innovation Solution
A dispatch control method for autonomous construction vehicles that generates construction paths, identifies potential collision zones, divides paths into sections, determines collision combinations, and selectively controls vehicle operations using sensor data to prevent collisions and optimize construction processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous construction vehicles operate without collision avoidance systems, then construction efficiency improves, but collision risk increases
Solution Approach 1:
The system performs preliminary path planning and collision zone identification before construction operations begin. The dispatch control server calculates potential collision zones in advance based on construction paths of multiple vehicles, enabling preventive control measures to be implemented before actual collisions can occur, thus maintaining both efficiency and safety.
Solution Approach 2:
The dispatch control server acts as an intermediary between autonomous construction vehicles and the construction site environment. It receives path information from vehicles, identifies collision zones, and sends control instructions back to vehicles, mediating the interaction to prevent collisions while maintaining construction efficiency.
2Measurement precision
If construction paths are divided into multiple sections for detailed analysis, then collision detection accuracy improves, but system complexity increases
Solution Approach 1:
The system segments construction paths into multiple sections to enable detailed collision analysis in each segment. By dividing the continuous path into discrete sections, the system can identify collision zones with higher precision while managing computational complexity through structured segmentation rather than analyzing the entire path as one continuous segment.
Data Source
AI summary
A method includes generating a construction path for the autonomous construction vehicle and at least one other vehicle. The method also includes identifying at least one possible collision zone in the construction path. The method also includes, in response to identifying the at least one possible collision zone: dividing the construction path into one or more sections; determining all possible collision combinations; and identifying one or more collision zones based on the possible collision combinations. The method also includes selectively controlling, using data from one or more sensors associated with one or more of the autonomous construction vehicle and the at least one other vehicle associated with the construction site, at least the autonomous construction vehicle based on the possible collision zones.


