Apr 5, 2023 � This article proposes a novel sharp-edged and efficient continuous semantic occupancy mapping algorithm (SEE-CSOM).
To verify the practicality in real applications, SEE-CSOM is tested by deploying a mobile robot. The robot is equipped with a 3-D Velodyne LiDAR and a visual�...
Generating an accurate and continuous semantic occupancy map is a key component of autonomous robotics. Most existing continuous semantic occupancy mapping�...
Aug 16, 2023 � Abstract—Generating an accurate and continuous se- mantic occupancy map is a key component of autonomous robotics. Most existing continuous�...
This is a novel continuous semantic mapping algorithm, which can complete dense but not thick semantic map reconstruction efficiently. Getting Started. Building�...
See-csom: Sharp-edged and efficient continuous semantic occupancy mapping for mobile robots. Y Deng, M Wang, Y Yang, D Wang, Y Yue. IEEE Transactions on�...
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We introduce the first outdoor open-vocabulary object-centric mapping system capable of discovering, building, and comprehending a vast number of instances. � We�...
Most existing continuous semantic occupancy mapping methods neglect the potential differences between voxels, which reconstruct an over-inflated map. What's�...
IEEE Robotics and Automation Letters. 2020. TLDR. A Bayesian ... SEE-CSOM: Sharp-Edged and Efficient Continuous Semantic Occupancy Mapping for Mobile Robots.
This work provides a theoretical analysis to compare and contrast the two major branches of Bayesian continuous occupancy mapping techniques---Gaussian�...