Vehicle Window Alignment Using Image-Based Stop Positioning
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Solution Overview
Problem
Current systems lack effective methods for autonomously controlling vehicles in response to various environmental and vehicle-specific conditions, such as cranes, lifts, outriggers, pumps, pipes, objects, doors, users, loading events, and specific vehicle types, which hinders safe and efficient navigation.
Innovation Solution
Implementing image sensor-based systems that analyze images to detect and determine the state of connected objects or vehicles, allowing the first vehicle to initiate appropriate actions or withhold actions based on the state of these detected entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image sensor-based systems are implemented to detect and analyze environmental conditions, then vehicle navigation safety and efficiency are improved, but device complexity increases
Solution Approach 1:
The system segments the complex task of environmental monitoring into distinct functional modules: image capture module, image analysis module, and control decision module. Each module handles specific aspects of detection (cranes, lifts, outriggers, pumps, pipes, objects, doors, users, loading events), allowing independent optimization and maintenance while improving overall reliability without proportionally increasing complexity.
Solution Approach 2:
A single image sensor system performs multiple detection functions simultaneously - identifying cranes, lifts, outriggers, pumps, pipes, objects, vehicle doors, users, and loading events. This multi-functional approach improves navigation safety across diverse scenarios without requiring separate specialized systems for each detection task, thereby limiting the increase in device complexity.
2Productivity
If the vehicle initiates actions based on detected states, then navigation efficiency is improved, but the risk of harmful factors increases if detection is inaccurate
Solution Approach 1:
The system continuously monitors environmental conditions using image sensors and adjusts vehicle actions based on real-time detection feedback. When objects like cranes, lifts, outriggers, pumps, or pipes are detected in specific states, the system modifies navigation decisions accordingly. This closed-loop feedback mechanism ensures that productivity improvements from responsive navigation do not compromise safety, as the system can detect and respond to potentially harmful conditions dynamically.
3Adaptability or versatility
If comprehensive image analysis is performed to detect multiple object types, then adaptability is improved, but measurement precision may deteriorate due to complexity
Solution Approach 1:
The image analysis system is divided into specialized sub-analyzers for different object types (cranes, lifts, outriggers, pumps, pipes, objects, doors, users, loading events). Each sub-analyzer focuses on specific visual characteristics of its target object type, maintaining high measurement precision for each category while the collective system achieves comprehensive adaptability across diverse detection scenarios.
Data Source
AI summary
Systems, methods and computer readable media for controlling vehicles in response to windows are provided. One or more images captured using one or more image sensors from an environment of a vehicle may be obtained. The one or more images may be analyzed to detect a first window in the environment. The vehicle may be navigated to a stopping position, where in the stopping position a window of the vehicle may be positioned at a selected position with respect to the first window.