Curb-Embedded Sensor Layout for Automated Parking Validation
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Solution Overview
Problem
Current methods for determining vehicle proximity to curbs during parking maneuvers are inefficient and require human intervention, lacking automation for precise distance and alignment measurements.
Innovation Solution
A smart curb sensor system with integrated proximity sensors within grooves in curbs that wirelessly transmit data to a controller for automated validation of vehicle positioning and alignment, including detection of distance and occupancy status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual methods are used to determine vehicle proximity to curbs, then human intervention is required, but the process is inefficient and lacks automation
Solution Approach 1:
The curb sensor system performs self-service by automatically detecting vehicle proximity and alignment without requiring human operators. The sensors mounted on curbs independently measure distance and alignment, then transmit data to the controller for automated validation, eliminating manual measurement and verification processes.
Solution Approach 2:
The patent replaces manual mechanical measurement methods with electronic sensor-based detection. Proximity sensors and alignment sensors substitute for human visual inspection and physical measuring tools, enabling automated data collection and processing for parking validation.
2Measurement precision
If no sensor system is used, then the process is simple, but precise distance and alignment measurements cannot be obtained
Solution Approach 1:
The measurement system is segmented into specialized sensors for different functions: proximity sensors for distance measurement, alignment sensors for angular measurement, and occupancy sensors for presence detection. Each sensor type is optimized for its specific measurement task, improving overall precision while distributing system complexity across multiple simple, dedicated components.
Solution Approach 2:
The controller acts as an intermediary that receives data from multiple sensor types, processes the information, and generates validation results. This intermediary component coordinates the complex interactions between different sensors and manages the data flow, making the overall system more manageable despite its multi-sensor complexity.
3Reliability
If multiple sensors are deployed for comprehensive detection, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The sensor system achieves multi-functionality by using a integrated controller that processes data from various sensor types (proximity, alignment, occupancy) to perform multiple validation functions. This universal controller reduces the need for separate processing systems for each sensor type, managing complexity while maintaining comprehensive detection capabilities.
Data Source
AI summary
A sensor system for a vehicle low speed parking maneuver, which includes a first curb with a groove, and a plurality of proximity sensors contained within the groove, the plurality of sensors to detect a vehicle tire within a determined distance from the first curb during a vehicle parking maneuver, and the plurality of sensors wirelessly transmit detection data to a controller for parking validation.