ilqgames
A new real-time solver for large-scale differential games.
signed_distance_cost.h
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34  * Authors: David Fridovich-Keil ( dfk@eecs.berkeley.edu )
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36 
37 ///////////////////////////////////////////////////////////////////////////////
38 //
39 // Nominal value minus distance between two points in the given dimensions.
40 //
41 ///////////////////////////////////////////////////////////////////////////////
42 
43 #ifndef ILQGAMES_COST_SIGNED_DISTANCE_COST_H
44 #define ILQGAMES_COST_SIGNED_DISTANCE_COST_H
45 
46 #include <ilqgames/cost/time_invariant_cost.h>
47 #include <ilqgames/utils/types.h>
48 
49 #include <string>
50 
51 namespace ilqgames {
52 
54  public:
55  SignedDistanceCost(const std::pair<Dimension, Dimension>& dims1,
56  const std::pair<Dimension, Dimension>& dims2,
57  float nominal = 0.0, bool less_is_positive = true,
58  const std::string& name = "")
59  : TimeInvariantCost(1.0, name),
60  xdim1_(dims1.first),
61  ydim1_(dims1.second),
62  xdim2_(dims2.first),
63  ydim2_(dims2.second),
64  nominal_(nominal),
65  less_is_positive_(less_is_positive) {
66  CHECK_GE(xdim1_, 0);
67  CHECK_GE(ydim1_, 0);
68  CHECK_GE(xdim2_, 0);
69  CHECK_GE(ydim2_, 0);
70  }
71 
72  // Evaluate this cost at the current input.
73  float Evaluate(const VectorXf& input) const;
74 
75  // Distanceize this cost at the given input, and add to the running
76  // sum of gradients and Hessians.
77  void Quadraticize(const VectorXf& input, MatrixXf* hess,
78  VectorXf* grad) const;
79 
80  private:
81  // Dimensions in which to apply the distance cost.
82  const Dimension xdim1_, ydim1_;
83  const Dimension xdim2_, ydim2_;
84 
85  // Nominal value in this (or all) dimensions.
86  const float nominal_;
87 
88  // Orientation. Whether less than nominal is positive or negative.
89  const bool less_is_positive_;
90 }; //\class SignedDistanceCost
91 
92 } // namespace ilqgames
93 
94 #endif