2018
DOI: 10.1109/tits.2017.2723908
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Roadside Magnetic Sensor System for Vehicle Detection in Urban Environments

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Cited by 92 publications
(28 citation statements)
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“…These solutions focus on the use of Gaussian and Kalman filters in conjunction with the Hogh algorithm to identify the position of road markers serving the automatic direction. Some approaches use inductive devices [17,18] installed along the curbs and line lanes of the road, allowing AVs to continuously transmit signals and determine the exact direction of the car.…”
Section: Related Workmentioning
confidence: 99%
“…These solutions focus on the use of Gaussian and Kalman filters in conjunction with the Hogh algorithm to identify the position of road markers serving the automatic direction. Some approaches use inductive devices [17,18] installed along the curbs and line lanes of the road, allowing AVs to continuously transmit signals and determine the exact direction of the car.…”
Section: Related Workmentioning
confidence: 99%
“…Vehicle detection plays a key role in ITSs. Among the popular conventional methods for vehicle detection, inductive loops are costly to install and maintain, video cameras consume high computing power [2] and do not work well under poor weather and nighttime conditions, and magnetic sensors lose detection robustness in congested traffic owing to so-called strong mutual effects [3].…”
Section: Introductionmentioning
confidence: 99%
“…With the technology enhancements in Internet of Things, including sensing [1], communication [2], computation [3] and caching [4], the application field of wireless sensor networks (WSNs) has gradually developed from military [5] to precision agriculture [6], smart health [7], intelligent transportation [8] and etc, which plays a more and more important role in human's daily life. Usually, the deployment of sensor nodes is task oriented.…”
Section: Introductionmentioning
confidence: 99%