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Found 7 papers, 2 papers with code
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
An accurate calibration of the intrinsics and extrinsics is a critical pre-requisite for using the edge of a wide-angle lens for depth perception and odometry.
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics
We first present a unified representation based on quadrics, leading to a consistent and concise formulation.
ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
Stereo reconstruction models trained on small images do not generalize well to high-resolution data.
TartanVO: A Generalizable Learning-based VO
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 challenging scenes.
TartanAir: A Dataset to Push the Limits of Visual SLAM
We present a challenging dataset, the TartanAir, for robot navigation task and more.
Robotics
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction
The proposed deep-learning assisted method is evaluated on the Middlebury dataset and high-resolution stereo images collected by our customized binocular stereo camera.
Learning Temporal Abstraction with Information-theoretic Constraints for Hierarchical Reinforcement Learning
A visualization of the latent space demonstrates that our algorithm learns an effective abstraction of the long action sequences.
Hierarchical Reinforcement Learning
reinforcement-learning
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