- 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
160 lines
3.7 KiB
C++
160 lines
3.7 KiB
C++
#ifndef GRIDWALKERMULTI_H
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#define GRIDWALKERMULTI_H
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#include "../../Grid.h"
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#include "../../../math/DrawList.h"
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#include "modules/WalkModule.h"
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// FOR TESTING
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#include "../../../geo/Heading.h"
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/**
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* modular grid-walker that takes various sub-components to determine
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* p(e) and thus randomly pick edges
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*/
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template <typename Node, typename WalkState> class GridWalkerMulti {
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private:
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struct Path {
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std::vector<const Node*> nodes;
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const Node* getSrc() const {return nodes.front();}
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const Node* getDst() const {return nodes.back();}
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};
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private:
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/** all modules to evaluate */
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std::vector<WalkModule<Node, WalkState>*> modules;
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public:
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/** add the given module */
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void addModule(WalkModule<Node, WalkState>* module) {
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modules.push_back(module);
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}
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/** perform the walk based on the configured setup */
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WalkState getDestination(Grid<Node>& grid, const WalkState& _startState, const float dist_m) {
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// get the node that corresponds to start;
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const Node* const startNode = grid.getNodePtrFor(_startState.startPos);
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Assert::isNotNull(startNode, "failed to termine start-node for grid-walk");
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const uint64_t seed = (uint64_t) startNode + rand();
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DrawList<Path> drawPath;
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drawPath.setSeed(seed);
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for (int i = 0; i < 1; ++i) {
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float dist = dist_m;
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// currently examined node
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const Node* curNode = startNode;
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Path path;
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path.nodes.push_back(curNode);
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// until distance is reached
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while (dist > 0) {
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DrawList<const Node*> drawEdge;
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drawEdge.setSeed(seed+1);
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//if (curNode->getNumNeighbors() < 6) {break;}
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// evaluate each neighbor
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for (const Node& neighbor : grid.neighbors(*curNode)) {
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const double prob = getProb(*startNode, *curNode, neighbor);
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drawEdge.add(&neighbor, prob);
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}
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// pick a neighbor
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const Node* nextNode = drawEdge.get();
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dist -= nextNode->getDistanceInMeter(*curNode);
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curNode = nextNode;
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path.nodes.push_back(curNode);
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}
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const double prob = getProb(path);
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drawPath.add(path, prob);
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}
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const Path& bestPath = drawPath.get();
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WalkState nextState = _startState;
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nextState.startPos = *(bestPath.getDst());
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return nextState;
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}
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private:
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inline double getProb(const Node& n0, const Node& n1, const Node& n2) {
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static float angle = 0; angle += 0.05;
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angle = std::fmod(angle, 6);
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if (&n1 == &n2) {return 1;}
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const Heading head1(angle);
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const Heading head2(n1.x_cm, n1.y_cm, n2.x_cm, n2.y_cm);
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const float diff = head1.getDiffHalfRAD(head2);
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return rand() % 32;
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}
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inline double getProb(const Path& path) {
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const Point3 p1 = path.getSrc()->inMeter();
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const Point3 p2 = path.getDst()->inMeter();
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const float dist = p1.getDistance(p2);
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return 1/dist;
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}
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/** update the state before starting the random walk (e.g. based on sensor readings, ..) */
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inline void updateBefore(WalkState& state) {
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for (WalkModule<Node, WalkState>* mdl : modules) {
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mdl->updateBefore(state);
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}
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}
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/** update the WalkState after the random walk (if needed) */
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inline void updateAfter(WalkState& state, const Node& startNode, const Node& endNode) {
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for (WalkModule<Node, WalkState>* mdl : modules) {
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mdl->updateAfter(state, startNode, endNode);
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}
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}
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/** one step taken. inform modules */
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inline void step(WalkState& state, const Node& curNode, const Node& nextNode) {
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for (WalkModule<Node, WalkState>* mdl : modules) {
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mdl->step(state, curNode, nextNode);
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}
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}
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/** get the probability for the given random walk (one edge) */
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inline double getProbability(const WalkState& state, const Node& start, const Node& cur, const Node& next) const {
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double prob = 1.0;
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for (const WalkModule<Node, WalkState>* mdl : modules) {
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prob *= mdl->getProbability(state, start, cur, next);
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}
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return prob;
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}
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};
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#endif // GRIDWALKERMULTI_H
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