LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images-Reference-Cited by-同舟云学术

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LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Battrawy Ramy,Schuster Rene,Wasenmuller Oliver,Rao Qing,Stricker Didier

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08967739.pdf?arnumber=8967739

Cited by 18 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. Object Detection and Information Perception by Fusing YOLO-SCG and Point Cloud Clustering;Sensors;2024-08-19

2. Multimodal spatiotemporal aggregation for point cloud accumulation;Journal of Visual Communication and Image Representation;2024-08

3. RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds;International Journal of Computer Vision;2024-05-23

4. Deep Scene Flow Learning: From 2D Images to 3D Point Clouds;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

5. DeFlow: Self-supervised 3D Motion Estimation of Debris Flow;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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