Parking Route Control Using Pedestrian Path Estimation
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Solution Overview
Problem
Conventional parking lot management systems fail to ensure the safety of users by preventing contact between vehicles and pedestrians, as they lack effective methods to dynamically adjust vehicle routes to avoid pedestrian movement paths.
Innovation Solution
A parking management device that acquires user identification data to estimate pedestrian movement routes and decides vehicle running routes to avoid these paths, using infrastructure sensors, communication devices, and autonomous driving capabilities to guide vehicles safely around pedestrians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional parking lot management systems are used, then device complexity is low, but user safety is compromised due to inability to prevent vehicle-pedestrian contact
Solution Approach 1:
The system segments the parking lot management into distinct functional modules: data acquiring unit for collecting user identification data, movement route estimating unit for predicting pedestrian paths, and running route deciding unit for determining safe vehicle routes. This segmentation allows each module to specialize in one aspect of safety management while maintaining overall system coherence.
Solution Approach 2:
The movement route estimating unit performs preliminary action by predicting pedestrian movement routes before the vehicle actually travels. This advance estimation allows the running route deciding unit to pre-calculate safe paths that avoid anticipated pedestrian movements, preventing potential collisions before they occur.
2Reliability
If vehicle routes are dynamically adjusted to avoid pedestrians, then user safety is improved, but productivity decreases due to longer travel times
Solution Approach 1:
The system dynamically adjusts vehicle running routes based on real-time pedestrian movement patterns. The running route deciding unit continuously receives updated user identification data and recalculates optimal safe routes, allowing the vehicle to adapt its path dynamically rather than following fixed predetermined routes.
Solution Approach 2:
The system changes the route parameters of the vehicle based on pedestrian movement estimates. By modifying the running route parameters to avoid estimated pedestrian paths while still reaching the destination, the system maintains safety without excessive deviation from the optimal path.
3Measurement precision
If multiple sensors and data sources are integrated, then measurement precision of pedestrian position is improved, but device complexity increases
Solution Approach 1:
The data acquiring unit merges data from multiple sources including infrastructure sensors provided in the parking lot and vehicle-exterior monitoring sensors provided in the vehicle itself. This combination of sensor inputs consolidates into a unified view of pedestrian positions, improving measurement precision through data fusion.
Solution Approach 2:
The system uses user identification data as an intermediary element that connects various sensor inputs to the movement route estimation process. This intermediary data structure organizes and standardizes information from different sensor sources, making integration manageable despite the diversity of input formats.
Data Source
AI summary
A parking management device includes: a data acquiring unit configured to acquire user identification data for identifying the position of a user moving in a parking lot; a movement route estimating unit configured to estimate a movement route based on the user identification data acquired by the data acquiring unit, the movement route being a route along which the user moves in the parking lot; and a running route deciding unit configured to decide a running route of a vehicle so as to avoid the movement route estimated by the movement route estimating unit, the vehicle being a vehicle running in the parking lot.