SLAM and Multi-Sensor Fusion for Robotics, Low-Altitude Remote Sensing, and 3D Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 288
Special Issue Editor
Special Issue Information
Dear Colleagues,
Simultaneous Localization and Mapping (SLAM) has become a key technology in robotics, autonomous systems, and remote sensing. With the rapid development of low-altitude platforms such as UAVs, backpack and helmet systems, and compact robotic platforms, there is an increasing demand for robust SLAM and multi-sensor fusion approaches that enable accurate 3D perception in both structured and unstructured environments.
This Special Issue seeks to collect contributions that explore novel methods, system integration, and real-world applications of SLAM in robotics and low-altitude remote sensing. Emphasis will be placed on advancing theories and techniques that support autonomous navigation, environmental monitoring, and 3D mapping across diverse scenarios, from urban and indoor spaces to forestry and underground environments.
Suggested themes include (but are not limited to) the following:
- SLAM algorithms with LiDAR, vision, radar, GNSS, and IMU;
- Multi-sensor calibration, synchronization, and fusion;
- Low-altitude remote sensing and UAV-based 3D mapping;
- Wearable/mobile mapping systems and field applications;
- Semantic SLAM and 3D data analysis for environmental monitoring;
- Applications in forestry, smart cities, underground spaces, and autonomous delivery;
- Benchmark datasets and evaluation for large-scale SLAM.
We look forward to receiving your contributions to this Special Issue.
Dr. Jianping Li
Guest Editor
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Keywords
- SLAM
- multi-sensor fusion
- low-altitude remote sensing
- UAV LiDAR
- robotics
- 3D mapping
- semantic point cloud
- GNSS-denied environments
- environmental applications
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