Vehicle Identification via Sensor Data Fusion
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Solution Overview
Problem
Smart infrastructure systems, such as parking lots, face challenges in accurately identifying and allocating services to specific vehicles due to insufficient information, leading to incorrect user allocation and disruption of automated services, especially in high-traffic areas where multiple vehicles are present.
Innovation Solution
A system that uses a combination of sensors to detect motion data within the infrastructure and vehicle units to broadcast their own motion data, allowing a computing module to compare and identify target vehicles based on parameters like speed, yaw rate, and vertical acceleration, ensuring accurate pairing and service allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor systems are used to track vehicles, then infrastructure systems can gather usage data, but the systems cannot accurately identify specific vehicles leading to incorrect user allocation
Solution Approach 1:
The patent combines infrastructure sensor data with vehicle-unit broadcast motion data into a unified identification system. The computing module merges these two data sources and compares them to positively identify target vehicles, resolving the information insufficiency problem while maintaining high identification accuracy.
Solution Approach 2:
The vehicle unit acts as an intermediary device that collects motion data from the vehicle and broadcasts it to infrastructure systems. This intermediary enables accurate vehicle identification by bridging the gap between the vehicle and the infrastructure sensor system, providing the missing information needed for precise user allocation.
2Measurement precision
If multiple sensors are deployed to improve vehicle identification, then identification accuracy improves, but system complexity and cost increase
Solution Approach 1:
The vehicle unit autonomously collects motion data from the vehicle and broadcasts it to infrastructure systems without requiring additional infrastructure sensors. This self-service approach enables accurate vehicle identification while avoiding the complexity and cost of deploying multiple infrastructure sensors, as the vehicle itself provides the identification data.
3Ease of operation
If infrastructure systems collect more data about vehicles, then service allocation improves, but privacy concerns increase
Solution Approach 1:
The patent extracts only the necessary motion data (speed, acceleration, steering angle) required for vehicle identification and service allocation, rather than collecting comprehensive vehicle information. This extraction approach enables efficient service allocation while minimizing privacy concerns by gathering only the minimum necessary data for the intended purpose.
Data Source
AI summary
A method of identifying a target vehicle in a system includes providing a sensor within a system. Motion data of a plurality of vehicles within the system is detected with the sensor. Broadcast motion data is received from a vehicle unit within the system. Which of the plurality of vehicles is a target vehicle is determined based on a comparison of the detected motion data and the broadcast motion data.