Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A variety of technologies can be applied to the collection and analysis of traffic data in smart cities. Vehicle detection, which is a fundamental aspect of traffic analysis, can be achieved by various technologies such as surveillance videos and loop detectors.  proposes a vehicle detection method that uses a set of sensors for bridge igh-in-motion, which is an in situ nonintrusive method that avoids the disadvantages of other systems. In a practical implementation of this method, where data streams from sensors have to be processed in real time,  found vehicle-detection inaccuracies caused by the characteristics of signals from the sensors. To address these problems,  propose a simple and efficient method that uses two sensors and a wavelet transform. Our method improves the system accuracy by comparing the results of a robust wavelet-transform peak-detection technique applied to the signal streams from the two sensors. Experimental results demonstrate the high performance of this method, which can meet the accuracy requirements of realtime scenarios.
['Juan Alegre-Sanahuja', 'Wei Lu', 'Atsuhiro Takasu']
I am writing a research paper on a idea Wavelet transform based vehicle detection from sensors for bridge weigh-in-motion
[{"from": "human", "value": "I am writing a research paper on a idea Wavelet transform based vehicle detection from sensors for bridge weigh-in-motion"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A variety of technologies can be applied to the collection and analysis of traffic data in smart cities. Vehicle detection, which is a fundamental aspect of traffic analysis, can be achieved by various technologies such as surveillance videos and loop detectors.  proposes a vehicle detection method that uses a set of sensors for bridge igh-in-motion, which is an in situ nonintrusive method that avoids the disadvantages of other systems. In a practical implementation of this method, where data streams from sensors have to be processed in real time,  found vehicle-detection inaccuracies caused by the characteristics of signals from the sensors. To address these problems,  propose a simple and efficient method that uses two sensors and a wavelet transform. Our method improves the system accuracy by comparing the results of a robust wavelet-transform peak-detection technique applied to the signal streams from the two sensors. Experimental results demonstrate the high performance of this method, which can meet the accuracy requirements of realtime scenarios."}]