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Multi-Sensor Fusion in Automated Driving: A Survey [PDF]
IEEE Access, 2020 With the significant development of practicability in deep learning and the ultra-high-speed information transmission rate of 5G communication technology will overcome the barrier of data transmission on the Internet of Vehicles, automated driving is ...
Zhangjing Wang, Yu Wu, Qingqing Niu
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving [PDF]
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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A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu +7 more
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AFTR: A Robustness Multi-Sensor Fusion Model for 3D Object Detection Based on Adaptive Fusion Transformer [PDF]
Sensors, 2023 Multi-modal sensors are the key to ensuring the robust and accurate operation of autonomous driving systems, where LiDAR and cameras are important on-board sensors.
Yan Zhang +6 more
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Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles [PDF]
SensorsAutonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS.
De Jong Yeong +2 more
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A Survey on Multi-Sensor Fusion Perimeter Intrusion Detection in High-Speed Railways [PDF]
SensorsIn recent years, the safety issues of high-speed railways have remained severe. The intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing derailment or parking, especially in the case of bad weather such as fog ...
Tianyun Shi +7 more
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Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
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An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation
Sensors, 2021 Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various sensors. It is the basic and one of the most important functions of mobile agents.
Yuanhao Qu +5 more
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Journal of Marine Science and Engineering, 2023 The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
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Survey on Information Fusion of Probability Density Functions [PDF]
Hangkong bingqi, 2023 The probability density function contains not only the first-order and the second-order statistics, but also the higher-order statistics and more complex feature information.
Li Jianxun, Yu Xingkai
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