no code implementations • 17 Mar 2024 • Liren Jin, Haofei Kuang, Yue Pan, Cyrill Stachniss, Marija Popović
The key components of our framework are a semantic implicit neural representation and a compatible planning utility function based on semantic rendering and uncertainty estimation, enabling adaptive view planning to target objects of interest.
1 code implementation • 6 Oct 2022 • Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss
The experiments suggest that the presented implicit representation is able to predict more accurate 2D LiDAR scans leading to an improved observation model for our particle filter-based localization.
1 code implementation • 5 Aug 2021 • Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li
Our formulation is able to capture global context in a video, thus robust to temporal content change.
no code implementations • 23 May 2019 • Haofei Kuang, Qingwen Xu, Sören Schwertfeger
We train one conventional and one spherical FCRN for underwater perspective and omni-directional images, respectively.