A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues-Reference-Cited by-同舟云学术

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A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues

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Container-title:Robotics: Science and Systems XII
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Author:

Held David,Guillory Devin,Rebsamen Brice,Thrun Sebastian,Savarese Silvio

Publisher

Robotics: Science and Systems Foundation

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SOTVerse: A User-Defined Task Space of Single Object Tracking;International Journal of Computer Vision;2023-10-18

2. Efficient and Accurate Object Detection With Simultaneous Classification and Tracking Under Limited Computing Power;IEEE Transactions on Intelligent Transportation Systems;2023-06

3. Objects Detection With 3-D Roadside LIDAR Under Snowy Weather;IEEE Sensors Journal;2022-12-01

4. Background Extraction and Objects Segmentation with 3D Roadside LiDAR under Snowy Weather;2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC);2022-10-08

5. Real-Time Fast Channel Clustering for LiDAR Point Cloud;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-10

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