RFID-Based Vehicle Collision Avoidance System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional driver assistance systems are prone to sensor errors and inconsistencies in object detection, leading to inaccurate collision avoidance measures due to misclassification of anomalies and incorrect interpretation of sensor data.
Innovation Solution
A collision avoidance system that utilizes RFID tags on objects to transmit unique signals, allowing the vehicle's object detection system to track objects accurately through RFID readers, reducing the need for complex image processing and minimizing sensor errors, and enabling proactive vehicle control actions to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensor-based object detection is used, then the system can detect objects without additional components on them, but the detection accuracy is reduced due to sensor errors and misclassification
Solution Approach 1:
The patent introduces RFID tags as intermediary devices attached to objects. These tags act as mediators between the detection system and the objects, providing reliable identification signals that eliminate sensor errors and misclassification issues inherent in conventional direct sensor-based detection methods
Solution Approach 2:
The system creates information copies by having objects carry RFID tags that transmit their identity and characteristics. Instead of relying on sensors to interpret and classify objects directly, the system copies object information into RFID tag signals that can be read accurately, thereby improving detection precision and reliability
2Measurement precision
If complex image processing is used to improve object detection, then detection capability is enhanced, but computational complexity and processing time increase
Solution Approach 1:
The patent extracts the identification function from complex image processing and places it into simple RFID tags. By taking out the object identification task from the computational image processing chain and assigning it to dedicated RFID tags, the system achieves accurate object detection without the computational burden of complex algorithms
Solution Approach 2:
The system replaces the mechanical/computational image processing approach with an electromagnetic field-based RFID detection method. Instead of using complex computational algorithms to analyze visual data, the system uses RFID readers to detect electromagnetic signals from tags, significantly reducing computational complexity while maintaining or improving detection capability
3Ease of operation
If conventional sensor interpretation methods are used, then the system can operate without additional object components, but false alarms and incorrect interpretations occur
Solution Approach 1:
The patent implements self-service by having objects carry their own identification information in RFID tags. Instead of relying on the detection system to interpret sensor data about objects, the objects themselves provide their identification and characteristic data through their RFID tags, eliminating misinterpretation and false alarms while maintaining operational simplicity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides faster and more accurate object tracking with reduced computational complexity, enhancing the reliability of collision avoidance maneuvers by actively receiving information from the objects themselves, thereby improving safety and reducing the likelihood of false alarms or unnecessary braking.
Implementation Method 1
A collision avoidance system includes a radio frequency identification (RFID) tag disposed on at least one object and a vehicle having an object detection system
Data Source
AI summary
Systems and methods for avoiding an object by a vehicle. A radio frequency identification (RFID) tag is disposed on the object and transmits a tag signal associated with the RFID tag. The vehicle includes an object detection system and an object response controller. The object detection system detects the transmitted tag signal, determines at least one tag characteristic from the detected tag signal and tracks the object based on the at least one tag characteristic to generate object tracking data. The object response controller determines at least one collision condition between the vehicle and the object based on the object tracking data, and initiates at least one vehicle control action responsive to the at least one collision condition. The at least one vehicle control action including automatically controlling operation of the vehicle by the object response controller to avoid a collision between the vehicle and the object.