Modular Python stereo visual SLAM pipeline for KITTI Odometry with ORB+RANSAC frontend, landmark mapping, GTSAM iSAM2 pose-graph optimization, loop closure, ATE/RPE evaluation, and Open3D ...
Abstract: Multi-session SLAM is essential for long-term robotic operations in indoor environments such as warehouses, office buildings, and industrial facilities. However, the thin walls separating ...
The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei 230601, China Institute of Artificial ...
Recent advances in Artificial Intelligence (AI) and Computer Vision (CV) have led to automated pose estimation algorithms using simple 2D videos. This has created the potential to perform kinematic ...
SE-Sync is a certifiably correct algorithm for performing synchronization over the special Euclidean group: estimate the values of a set of unknown poses (positions and orientations in Euclidean space ...
Wearable computing platforms, such as smartwatches and head-mounted mixed reality displays, demand new input devices for high-fidelity interaction. We present AuraRing, a wearable magnetic tracking ...
In robot localisation and mapping, outliers are unavoidable when loop-closure measurements are taken into account. A single false-positive loop-closure can have a very negative impact on SLAM problems ...
The structure-function relationship is fundamental to our understanding of biological systems at all levels, and drives most, if not all, techniques for detecting, diagnosing, and treating a disease.
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