• Iterative Closest Point with Minimal Free Space Constraints 

      Haugo, Simen; Stahl, Annette (Chapter; Peer reviewed, 2020)
      The Iterative Closest Point (ICP) method is widely used for fitting geometric models to sensor data. By formulating the problem as a minimization of distances evaluated at observed surface points, the method is computationally ...
    • Minimal Free Space Constraints for Implicit Distance Bounds 

      Haugo, Simen; Stahl, Annette (Chapter; Peer reviewed, 2020)
      A general approach for fitting implicit models to sensor data is to optimize an objective function measuring the quality of the fit. The objective function often involves evaluating the model’s implicit function at several ...