arXiv:1807.01605
Sensors, SLAM and Long-term Autonomy: A Review
원문 초록
Simultaneous Localization and Mapping, commonly known as SLAM, has been an active research area in the field of Robotics over the past three decades. For solving the SLAM problem, every robot is equipped with either a single sensor or a combination of similar/different sensors. This paper attempts to review, discuss, evaluate and compare these sensors. Keeping an eye on future, this paper also assesses the characteristics of these sensors against factors critical to the long-term autonomy challenge.
함께 살펴볼 논문
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SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure
LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
SupeRANSAC: One RANSAC to Rule Them All
Place Recognition: A Comprehensive Review, Current Challenges and Future Directions
SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAM
토론
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