worked on disjkstra and a*
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@@ -152,6 +152,11 @@ public:
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return (hashes.find(uid) != hashes.end());
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}
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/** get a list of all nodes within the graph */
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const std::vector<T>& getNodes() const {
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return nodes;
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}
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/** get the center-node the given Point belongs to */
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const T& getNodeFor(const GridPoint& p) {
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const UID uid = getUID(p);
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119
nav/a-star/AStar.h
Normal file
119
nav/a-star/AStar.h
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@@ -0,0 +1,119 @@
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#ifndef ASTAR_H
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#define ASTAR_H
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#include <iostream>
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#include <vector>
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#include <algorithm>
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#include <limits>
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#include <queue>
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#include <unordered_map>
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#include <cassert>
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#include "../../grid/Grid.h"
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template <typename T> class AStar {
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public:
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//dijkstra with priority queue O(E log V)
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template <typename Access> static std::vector<const T*> get(const T* source, const T* destination, Access acc) {
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// track distances from the source to each other node
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std::unordered_map<const T*, float> distance;
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// track the previous node for each node along the path
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std::unordered_map<const T*, const T*> parent;
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// all nodes
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const std::vector<T>& nodes = acc.getAllNodes();
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// priority queue to check which node is to-be-processed next
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std::priority_queue<std::pair<T*,float>, std::vector<std::pair<const T*,float>>, Comparator2> Q;
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// start with infinite distance
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for(const auto& node : nodes){
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distance[&node] = std::numeric_limits<float>::max();
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}
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// start at the source
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distance[source] = 0.0f;
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Q.push(std::make_pair(source,distance[source]));
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// proceed until there are now new nodes to follow
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while(!Q.empty()) {
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// fetch the next-nearest node from the queue
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const T* u = Q.top().first;
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// and check whether we reached the destination
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if (u == destination) {break;}
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// remove from the Queue
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Q.pop();
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// process all neighbors for the current element
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for( const T& v : acc.getNeighbors(*u)) {
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// weight (distance) between the current node and its neighbor
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//const float w = ((Point3)v - (Point3)*u).length();
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const float w = acc.getWeightBetween(v, *u);
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// found a better route?
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if (distance[&v] > distance[u] + w) {
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distance[&v] = distance[u] + w;
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parent[&v] = u;
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Q.push(std::make_pair(&v, distance[&v] + acc.getHeuristic(v, *source)));
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}
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}
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}
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// construct the path
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std::vector<const T*> path;
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const T* p = destination;
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path.push_back(destination);
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// until we reached the source-node
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while (p!=source) {
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if (p) {
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p = parent[p];
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path.push_back(p);
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} else {
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return std::vector<const T*>(); //if no path could be found, just return an empty vector.
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}
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}
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// done
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return path;
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}
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// template <typename Access> static std::vector<const T*> getShortestPathAStar(const T* src, const T* dst, Access acc){
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// std::vector<const T*> shortestPath;
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// //here we could do some preprocessing. e.g. area of interest of nodes
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// // call aStar
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// shortestPath = aStar(src, dst, acc);
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// return shortestPath;
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// }
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class Comparator2 {
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public:
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int operator() ( const std::pair<const T*,float>& p1, const std::pair<const T*,float>& p2){
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return p1.second > p2.second;
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}
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};
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};
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#endif // ASTAR_H
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@@ -49,7 +49,7 @@ public:
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// runs until all nodes were evaluated
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(void) end;
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Log::add("Dijkstra", "calculating dijkstra from " + (std::string)*start + " to ALL OTHER nodes", false);
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Log::add("Dijkstra", "calculating dijkstra from " + (std::string)*start + " to " + ((end)?((std::string)*end):"ALL OTHER nodes"), true);
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Log::tick();
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// cleanup previous runs
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@@ -75,10 +75,10 @@ public:
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DijkstraNode<T>* dnSrc = toBeProcessedNodes.pop();
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// when an end is given, stop when end was reached
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if (end != nullptr && dnSrc->element == end) {break;}
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if (end != nullptr && dnSrc->element == end) {Log::add("Dijkstra", "reached target node"); break;}
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// when a maximum weight is given, stop when current cum-dist > maxWeight
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if (maxWeight != 0 && dnSrc->cumWeight > maxWeight) {break;}
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if (maxWeight != 0 && dnSrc->cumWeight > maxWeight) {Log::add("Dijkstra", "reached distance limit"); break;}
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// visit (and maybe update) each neighbor of the current element
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for (int i = 0; i < acc.getNumNeighbors(*dnSrc->element); ++i) {
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@@ -113,8 +113,8 @@ public:
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}
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Log::add("Dijkstra", "processed " + std::to_string(nodes.size()) + " nodes", false);
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Log::tock();
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Log::add("Dijkstra", "processed " + std::to_string(nodes.size()) + " nodes");
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}
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48
tests/nav/a-star/TestAStar.cpp
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48
tests/nav/a-star/TestAStar.cpp
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@@ -0,0 +1,48 @@
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#ifdef WITH_TESTS
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#include "../../Tests.h"
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#include "../../../grid/Grid.h"
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#include "../../../nav/a-star/AStar.h"
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#include "../../grid/Plot.h"
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TEST(AStar, build) {
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Grid<GP> grid(1);
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int idx1 = grid.add(GP( 0, 0, 0));
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int idx2 = grid.add(GP( 0, 1, 0));
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int idx3 = grid.add(GP( 0,-1, 0));
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int idx4 = grid.add(GP( 1, 0, 0));
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int idx5 = grid.add(GP(-1, 0, 0));
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grid.connectBiDir(idx1, idx2);
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grid.connectBiDir(idx1, idx3);
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grid.connectBiDir(idx1, idx4);
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grid.connectBiDir(idx1, idx5);
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class TMP {
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Grid<GP>& grid;
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public:
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TMP(Grid<GP>& grid) : grid(grid) {;}
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// int getNumNeighbors(const GP& node) const {return node.getNumNeighbors();}
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// const GP* getNeighbor(const GP& node, const int idx) const {return &grid.getNeighbor(node, idx);}
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const std::vector<GP>& getAllNodes() const {return grid.getNodes();}
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decltype(grid.neighbors(GP())) getNeighbors(const GP& node) const {return grid.neighbors(node);}
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float getWeightBetween(const GP& n1, const GP& n2) const {return ((Point3)n1 - (Point3)n2).length();}
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float getHeuristic(const GP& n1, const GP& n2) const {return std::abs(n1.x_cm - n2.x_cm) + std::abs(n1.y_cm - n2.y_cm);}
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} tmp(grid);
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AStar<GP> nav;
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std::vector<const GP*> vec = nav.get(&grid[0], &grid[4], tmp);
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for (const GP* g : vec) {
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std::cout << g << std::endl;
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}
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}
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#endif
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