Demo: Privacy-Preserving Localization for Edge-Assisted Robotic Navigation
Author:
Affiliation:
1. Georgia Institute of Technology, Atlanta, Georgia, USA
2. Ericsson Research, Stockholm, Sweden
3. Ericsson Research, Santa Clara, USA
Funder
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583740.3626629
Reference15 articles.
1. SLAM algorithm applied to robotics assistance for navigation in unknown environments;Auat Cheein Fernando A;Journal of Neuroengineering and Rehabilitation (JNER),2010
2. Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
3. Kunal Chelani, Fredrik Kahl, and Torsten Sattler. 2021. How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR). 15668--15678.
4. RGB-D SLAM Based on Extended Bundle Adjustment with 2D and 3D Information
5. Mihai Dusmanu, Johannes L Schonberger, Sudipta N Sinha, and Marc Pollefeys. 2021. Privacy-preserving image features via adversarial affine subspace embeddings. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR). 14267--14277.
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