FrankE
a2c9e575a2
- worked on about everything - grid walker using plugable modules - wifi models - new distributions - worked on geometric data-structures - added typesafe timestamps - worked on grid-building - added sensor-classes - added sensor analysis (step-detection, turn-detection) - offline data reader - many test-cases
56 lines
1.1 KiB
C++
56 lines
1.1 KiB
C++
#ifndef WALKMODULENODEIMPORTANCE_H
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#define WALKMODULENODEIMPORTANCE_H
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#include "WalkModule.h"
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#include "WalkStateHeading.h"
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/**
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* favor edges based on the importance-factor of the next node.
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* @see struct GridNodeImportance
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*/
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template <typename Node, typename WalkState> class WalkModuleNodeImportance : public WalkModule<Node, WalkState> {
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private:
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public:
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/** ctor */
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WalkModuleNodeImportance() {
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;
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}
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virtual void updateBefore(WalkState& state) override {
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(void) state;
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}
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virtual void updateAfter(WalkState& state, const Node& startNode, const Node& endNode) override {
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(void) state;
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(void) startNode;
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(void) endNode;
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}
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virtual void step(WalkState& state, const Node& curNode, const Node& nextNode) override {
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(void) state;
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(void) curNode;
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(void) nextNode;
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}
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double getProbability(const WalkState& state, const Node& startNode, const Node& curNode, const Node& potentialNode) const override {
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(void) state;
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(void) startNode;
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(void) curNode;
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const double prob = potentialNode.getNavImportance();
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return std::pow(prob, 10);
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//return prob;
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}
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};
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#endif // WALKMODULENODEIMPORTANCE_H
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