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Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over the last few decades and has generated considerable interest in the autonomous driving community.
Shuran Zheng +4 more
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A survey: which features are required for dynamic visual simultaneous localization and mapping? [PDF]
In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry.
Zewen Xu, Zheng Rong, Yihong Wu
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Cooperative simultaneous localization and mapping algorithm based on distributed particle filter
In this article, cooperative simultaneous localization and mapping algorithm based on distributed particle filter is proposed for multi-robot cooperative simultaneous localization and mapping system.
Shuhuan Wen +3 more
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Survey of simultaneous localization and mapping based on environmental semantic information
The simultaneous localization and mapping (SLAM) technique is an important research direction in robotics. Although the traditional SLAM has reached a high level of real-time performance, major shortcomings still remain in its positioning accuracy and ...
Xiao-qian LI +4 more
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The possibility of returning an unmanned aerial vehicle in case of electromagnetic interference, which blocks the use of the global positioning system and radio control system, is considered.
Antoshchuk S. G. +2 more
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An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression
We present a computationally efficient algorithm for using variations in the ambient magnetic field to compensate for position drift in integrated odometry measurements (dead-reckoning estimates) through simultaneous localization and mapping (SLAM). When
Frida Viset, Rudy Helmons, Manon Kok
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As one of the typical application-oriented solutions to robot autonomous navigation, visual simultaneous localization and mapping is essentially restricted to simplex environmental understanding based on geometric features of images.
Linlin Xia +5 more
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A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data
Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS).
Angelos Antonopoulos +2 more
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As a fundamental assumption in simultaneous localization and mapping, the static scenes hypothesis can be hardly fulfilled in applications of indoor/outdoor navigation or localization.
Yujia Zhai +4 more
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Simultaneous localization, mapping, and path planning for unmanned vehicle using optimal control
Among the huge number of functionalities that are required for autonomous navigation, the most important are localization, mapping, and path planning.
Demim Fethi +3 more
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