A Systematic Review on Fusion Techniques and Approaches Used in Applications
IEEE Access, 2020 Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered.
Shaidah Jusoh, Sufyan Almajali
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
SensorsMulti-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
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Multi-Sensor Data Fusion Method Based on Improved Evidence Theory
Journal of Marine Science and Engineering, 2023 To achieve autonomous navigation in complex marine environments, unmanned surface vehicles are equipped with a variety of sensors for sensing the surrounding environment and their own state. To address the issue of unsatisfactory multi-sensor information
Shuanghu Qiao +3 more
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Sensor registration for robotic applications [PDF]
, 2007 Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion.
Alempijevic, A +2 more
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Multilevel Structure Extraction-Based Multi-Sensor Data Fusion
Remote Sensing, 2020 Multi-sensor data on the same area provide complementary information, which is helpful for improving the discrimination capability of classifiers. In this work, a novel multilevel structure extraction method is proposed to fuse multi-sensor data.
Puhong Duan +3 more
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Design and application of a multi-modal process tomography system [PDF]
, 2001 This paper presents a design and application study of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography.
Hoyle, B.S. +8 more
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Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks
IET Communications, 2022 Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment.
Xi Meng, Dongliang Duan, Tao Feng
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
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Adaptive sensor-fusion of depth and color information for cognitive robotics [PDF]
, 2011 Proceedings of: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), December 7-11, 2011, Phuket (Thailand)The presented work goes one step further than only combining data from different sensors.
Klimentjew, Denis, Zhang, Jianwei
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Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter
Sensors, 2018 This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems.
Bingbing Gao +4 more
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