6 citations · 21 across the 8 of their papers we have counts for
8 papers
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
Bardienus P Duisterhof, Yaoyu Hu, Si Heng Teng +2
Wide-angle cameras are uniquely positioned for mobile robots, by virtue of the rich information they provide in a small, light, and cost-effective form factor. An accurate calibrat…
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics
Weikun Zhen, Huai Yu, Yaoyu Hu +1
In Simultaneous Localization And Mapping (SLAM) problems, high-level landmarks have the potential to build compact and informative maps compared to traditional point-based landmark…
ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
Yaoyu Hu, Wenshan Wang, Huai Yu +2
Stereo reconstruction models trained on small images do not generalize well to high-resolution data. Training a model on high-resolution image size faces difficulties of data avail…
TartanVO: A Generalizable Learning-based VO
Wenshan Wang, Yaoyu Hu, Sebastian Scherer
We present the first learning-based visual odometry (VO) model, which generalizes to multiple datasets and real-world scenarios and outperforms geometry-based methods in challengin…
TartanAir: A Dataset to Push the Limits of Visual SLAM
Wenshan Wang, Delong Zhu, Xiangwei Wang +6
We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving o…
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction
Yaoyu Hu, Weikun Zhen, Sebastian Scherer
This work presents dense stereo reconstruction using high-resolution images for infrastructure inspections. The state-of-the-art stereo reconstruction methods, both learning and no…