Autonomous Waste Vehicle Docking via Image-Based Alignment
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Solution Overview
Problem
The manual collection of dumpsters by waste collection vehicles requires skilled labor, leading to high worker fatigue and variability in collection quality, making it challenging to provide uniform service.
Innovation Solution
A waste collection vehicle equipped with a recognition unit, steering unit, and docking unit, which uses optical devices and image analysis to automatically align and position the vehicle in front of a dumpster, allowing for unmanned autonomous collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual collection method by worker is used, then collection can be performed with simple equipment, but worker fatigue is very high and collection quality varies depending on worker skills
Solution Approach 1:
The waste collection vehicle performs alignment and docking operations autonomously using its own onboard sensors and control systems. The vehicle independently identifies dumpster locations, calculates optimal paths, and executes docking maneuvers without external human intervention, thereby eliminating variability caused by different workers' skills while maintaining operational simplicity.
Solution Approach 2:
The patent replaces the manual mechanical steering and alignment operations performed by workers with an automated control system that uses image processing, coordinate transformation, and electronic control to achieve precise vehicle positioning and docking. This substitution eliminates human fatigue and skill-dependent variability while maintaining the core mechanical docking function.
2Device complexity
If manual alignment and steering for docking is performed, then equipment complexity is low, but worker fatigue is very high due to steering operations
Solution Approach 1:
The waste collection vehicle autonomously performs alignment and docking operations using its own onboard sensors, image processing capabilities, and control systems. The vehicle independently identifies dumpster locations, calculates optimal paths through coordinate transformations, and executes docking maneuvers without external human intervention, thereby eliminating worker fatigue while maintaining operational simplicity.
Solution Approach 2:
The patent replaces manual mechanical steering and alignment operations with an automated control system that uses image processing, coordinate transformation, and electronic control to achieve precise vehicle positioning and docking. This substitution eliminates human fatigue and skill-dependent variability while maintaining the core mechanical docking function.
3Reliability
If skilled workers are hired to ensure collection quality, then collection quality can be maintained, but hiring difficulty increases and labor costs rise
Solution Approach 1:
The waste collection vehicle autonomously performs alignment and docking operations using its own onboard sensors and control systems. The vehicle independently identifies dumpster locations, calculates optimal paths, and executes docking maneuvers without external human intervention, thereby eliminating variability caused by different workers' skills while maintaining operational simplicity.
Solution Approach 2:
The patent replaces the manual mechanical steering and alignment operations performed by workers with an automated control system that uses image processing, coordinate transformation, and electronic control to achieve precise vehicle positioning and docking. This substitution eliminates human fatigue and skill-dependent variability while maintaining the core mechanical docking function.
4Reliability
If automatic alignment and docking system is implemented, then collection quality uniformity is improved, but device complexity increases due to addition of recognition and control units
Solution Approach 1:
The control unit serves multiple functions: it processes images from the optical device, performs coordinate transformations, calculates vehicle positioning, controls steering operations, and manages docking procedures. By consolidating these diverse functions into a single multi-functional control unit, the system achieves high collection quality uniformity while minimizing the increase in overall device complexity.
Solution Approach 2:
The control unit acts as an intermediary that bridges the optical sensing system and the mechanical execution system. It transforms image data into coordinated control commands, mediating between the perception and action systems to achieve precise automatic alignment and docking while managing system complexity through centralized intelligence.
Data Source
AI summary
A waste collection vehicle for unmanned self-collection of a dumpster includes a recognition unit configured to recognize the dumpster and a plurality of dumpster holes provided on both sides of the dumpster within a set distance from the dumpster, a steering unit configured to identify outlines of the dumpster and then control a traveling direction of the waste collection vehicle based on the identified outlines until the waste collection vehicle is positioned in front of the dumpster, and a docking unit configured to docks an end of the front loader provided on the waste collection vehicle to the dumpster hole when it is determined that the waste collection vehicle is positioned in front of the dumpster.