M. Ueckermann

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Ueckermann trusts overall

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

  1. Stanley J. Osher
  2. Naomi Ehrich Leonard
  3. Giovanni Russo

Papers from M. Ueckermann's perspective

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

  1. A Remark on Computing Distance Functions
  2. Level set methods and dynamic implicit surfaces (Applied Mathematical Sciences)
  3. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
  4. Rapidly-exploring random trees : a new tool for path planning
  5. Evolutionary path planning for autonomous underwater vehicles in a variable ocean (IEEE Journal of Oceanic Engineering)
  6. Real-time randomized path planning for robot navigation (IEEE/RSJ International Conference on Intelligent Robots and Systems)
  7. Collective Motion, Sensor Networks, and Ocean Sampling
  8. RRT-connect: An efficient approach to single-query path planning
  9. Semiconcave Functions, Hamilton-Jacobi Equations, and Optimal Control
  10. Virtual leaders, artificial potentials and coordinated control of groups

Their papers