Michael Pantic

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Aerospace Engineering — 12 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Michael Pantic trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael S. Floater
2. Mathieu Desbrun
3. Ioan Alexandru Sucan
4. Mark Moll
5. Brian Yamauchi
6. Charles Richter
7. Sertac Karaman
8. Lydia E. Kavraki
9. Steven M. LaValle
10. Mark Meyer

Who trusts Michael Pantic overall

1. Chee Sheng Tan

Papers from Michael Pantic's perspective

Ordered by how strongly the researchers Michael Pantic trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intrinsic Parameterizations of Surface Meshes (Computer graphics forum (Print))
2. Mean value coordinates (Computer Aided Geometric Design)
3. Randomized Kinodynamic Planning
4. OctoMap: an efficient probabilistic 3D mapping framework based on octrees
5. A frontier-based approach for autonomous exploration
6. RotorS—A Modular Gazebo MAV Simulator Framework
7. Sampling-based algorithms for optimal motion planning
8. Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking (2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission)
9. The Open Motion Planning Library
10. Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments (International Symposium of Robotics Research)

Their papers

• Mesh Manifold Based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles (2021) — 18 citations
• An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments (2019) — 302 citations