Y. Xie, F. Shu, J. Rambach, A. Pagani, und D. Stricker. (2021)cite arxiv:2110.11219Comment: accepted to BMVC 2021, code opensource: https://github.com/EryiXie/PlaneRecNet.
Y. Wu, Y. Zhang, D. Zhu, Y. Feng, S. Coleman, und D. Kerr. (2020)cite arxiv:2004.12730Comment: Accepted to IROS 2020. Project Page: https://yanmin-wu.github.io/project/eaoslam/; Code: https://github.com/yanmin-wu/EAO-SLAM.
J. Sun, Y. Xie, L. Chen, X. Zhou, und H. Bao. (2021)cite arxiv:2104.00681Comment: Accepted to CVPR 2021 as Oral Presentation. Project page: https://zju3dv.github.io/neuralrecon/.
Z. Liao, W. Wang, X. Qi, X. Zhang, L. Xue, J. Jiao, und R. Wei. (2020)cite arxiv:2004.05303Comment: Submission to IROS 2020. Video: https://youtu.be/u9zRBp4TPIs. Code: https://github.com/XunshanMan/Object-oriented-SLAM.
Y. Nakajima, B. Kang, H. Saito, und K. Kitani. (2019)cite arxiv:1907.10008Comment: 10 pages, To appear at IEEE International Conference on Computer Vision (ICCV 2019).
K. Jatavallabhula, S. Saryazdi, G. Iyer, und L. Paull. (2019)cite arxiv:1910.10672Comment: Video: https://youtu.be/2ygtSJTmo08 . Project page and code: https://gradslam.github.io This tech report is an extended version of the ICRA 2020 paper "gradSLAM: Dense SLAM meets automatic differentiation". The first two authors contributed equally.
V. Sitzmann, M. Zollhöfer, und G. Wetzstein. (2019)cite arxiv:1906.01618Comment: Video: https://youtu.be/6vMEBWD8O20 Project page: https://vsitzmann.github.io/srns/.