Airport Valet Parking Selection Using Illuminance, Weather, and Charge
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Solution Overview
Problem
Existing automated valet driving systems lack an efficient method for determining optimal parking locations for vehicles at airport terminals, considering factors like illuminance, weather, and electric charge levels.
Innovation Solution
The proposed method involves identifying a subject vehicle for automated valet driving and performing an autonomous driving operation based on a determined parking location. This location is calculated by considering illuminance, weather, and electric charge levels, with specific thresholds and priorities applied to decide between drop-off and pick-up areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the automated valet driving system determines parking location without considering environmental factors, then the system complexity is reduced, but the safety and efficiency of valet driving deteriorates
Solution Approach 1:
The system dynamically changes parking location parameters based on environmental conditions (illuminance, weather, electric charge level). When illuminance is low, the system selects parking locations with adequate lighting; when electric charge level is low, the system prioritizes locations near charging stations, thereby optimizing safety and efficiency without requiring overly complex system architecture
Solution Approach 2:
The system performs preliminary assessment of environmental factors (illuminance, weather, electric charge level) before determining the parking location. This advance evaluation allows the system to pre-select appropriate parking areas that meet safety and efficiency requirements, avoiding the need for complex real-time decision-making during the actual parking process
2Reliability
If the system determines parking location based on multiple factors (illuminance, weather, electric charge level), then the safety and efficiency of valet driving is improved, but the device complexity increases
Solution Approach 1:
The system segments the decision-making process into distinct modules: illuminance detection module, weather detection module, electric charge level detection module, and integrated decision module. Each module independently evaluates its specific parameter and contributes to the final parking location selection, making the complex system more manageable and maintainable while achieving high safety and efficiency
Solution Approach 2:
The automated valet driving system is designed with multi-functional capability to simultaneously consider multiple environmental factors (illuminance, weather, electric charge level) and make integrated parking location decisions. This universal approach allows a single system to handle diverse environmental conditions without requiring separate specialized systems for each factor
3Reliability
If the system prioritizes drop-off area when illuminance is low, then the safety of valet driving is improved, but the productivity of the system deteriorates due to additional routing
Solution Approach 1:
The system dynamically adjusts parking location selection based on real-time environmental conditions. When illuminance is low, it dynamically prioritizes drop-off areas; when electric charge level is low, it dynamically prioritizes areas near charging stations. This dynamic adaptation optimizes the balance between safety and productivity by responding flexibly to changing conditions rather than following fixed routing rules
Data Source
AI summary
An automated valet driving method includes: identifying a subject vehicle for an automated valet driving system; and performing an autonomous driving operation for the subject vehicle based on a parking location for the subject vehicle. The parking location is determined based on a parking lot around an airport terminal by referring to at least one of illuminance, weather, and electric charge level.