Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fuzzy Control
Fuzzy Control and Modeling: Analytical Foundations and Applications
Fuzzy Control and Modeling: Analytical Foundations and Applications
Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
A cost-effective ultrasonic sensor-based driver-assistance system for congested traffic conditions
IEEE Transactions on Intelligent Transportation Systems
An approach to urban traffic state estimation by fusing multisource information
IEEE Transactions on Intelligent Transportation Systems
Using stochastic petri nets for level-crossing collision risk assessment
IEEE Transactions on Intelligent Transportation Systems
Game theory approach to discrete H∞ filter design
IEEE Transactions on Signal Processing
Modular Architecture for Efficient Generation and Correlation of Complementary Set of Sequences
IEEE Transactions on Signal Processing
An obstacle detection method by fusion of radar and motion stereo
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Real-time disparity contrast combination for onboard estimation of the visibility distance
IEEE Transactions on Intelligent Transportation Systems
Off-Road Path and Obstacle Detection Using Decision Networks and Stereo Vision
IEEE Transactions on Intelligent Transportation Systems
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
IEEE Transactions on Intelligent Transportation Systems
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On current railway systems, it is becoming ever more necessary to install safety elements to avoid accidents. One of the causes that can provoke serious accidents is the existence of obstacles on the tracks, either fixed or mobile. In this paper, a multisensory system that can inform the monitoring system about the existence of obstacles is proposed. The system for obstacle detection consists of two emitting and receiving barriers, which are placed on opposing sides of the railway, respectively, and use infrared and ultrasonic sensors, thus establishing different optical and acoustic links between them. The interruption of one or several links should produce an alarm. However, even without the existence of objects, degradation of links could occur due to atmospheric attenuation, solar radiation, etc., also producing an activation of the alarm system. Since detection is based on the lack of radiation in the detectors, the use of complementary sensors for the same task is justified. Since the minimum size of an object for which an alarm is required to be generated is 50 × 50 × 50 cm, in some situations, several links are interrupted; however, alarms should not be generated. Typical cases are the flight of leaves or the movement of small animals in the scanned area. To avoid alarm activation in such situations, this paper proposes the combined use of diverse techniques of data fusion, based on fuzzy logic and the Dempster-Shafer theory of evidence, to validate the existence of objects, providing a highly reliable detection system.