6 #include <jsoncpp/json/json.h>
11 #define ETA 1.0 // for steer, nv
12 #define GAMMA(cV) ({ \
13 __typeof__ (cV) _cV = (cV); \
14 pow(log(_cV) / _cV, 1.0 / 3.0); \
17 /*! \brief Possible type of RRT node.
19 \param cusp The node that is cusp (change in direction).
20 \param connected The node that branches generated steered path.
24 static const unsigned int cusp = 1 << 0;
25 static const unsigned int connected = 1 << 1;
28 /*! \brief RRT node basic class.
30 \param c Cumulative cost from RRT data structure root.
31 \param p Pointer to parent RRT node.
32 \param t Type of the RRT node (RRTNodeType).
34 \param x Horizontal coordinate of rear axle center.
35 \param y Vertical coordinate of rear axle center.
36 \param h Heading of the car in the interval [-pi,+pi] radians.
37 \param sp Speed of the car.
38 \param st Steering of the car.
43 RRTNode *p_ = nullptr;
55 double c() const { return this->c_; }
56 void c(double c) { this->c_ = c; }
58 RRTNode *p() const { return this->p_; }
59 void p(RRTNode *p) { this->p_ = p; }
61 bool t(unsigned int flag) { return this->t_ & flag; }
62 void set_t(unsigned int flag) { this->t_ |= flag; }
63 void clear_t(unsigned int flag) { this->t_ &= ~flag; }
67 double x() const { return this->x_; }
68 void x(double x) { this->x_ = x; }
70 double y() const { return this->y_; }
71 void y(double y) { this->y_ = y; }
73 double h() const { return this->h_; }
83 double sp() const { return this->sp_; }
84 void sp(double sp) { this->sp_ = sp; }
86 double st() const { return this->st_; }
87 void st(double st) { this->st_ = st; }
90 RRTNode(const BicycleCar &bc);
91 bool operator==(const RRTNode& n);
92 friend std::ostream &operator<<(
105 /*! \brief Polygon obstacle basic class.
107 \param poly Border polygon of the obstacle.
111 std::vector<std::tuple<double, double>> poly_;
114 std::vector<std::tuple<double, double>> &poly()
122 /*! \brief RRT* algorithm basic class.
124 \param icnt RRT algorithm iterations counter.
125 \param goals The vector of goal nodes.
126 \param nodes The vector of all nodes in RRT data structure.
127 \param samples The vector of all samples of RRT algorithm.
128 \param sample_dist_type Random distribution type for sampling function (0 -
129 normal, 1 - uniform, 2 - uniform circle)
133 unsigned int icnt_ = 0;
134 std::chrono::high_resolution_clock::time_point tstart_;
138 int sample_dist_type_ = 0;
140 std::vector<RRTNode> goals_;
141 std::vector<RRTNode> nodes_;
142 std::vector<Obstacle> obstacles_;
143 std::vector<RRTNode> samples_;
144 std::vector<RRTNode> steered_;
145 double log_path_time_ = 0.1;
146 unsigned int log_path_iter_ = 20;
147 std::vector<double> log_path_cost_;
149 /*! \brief Update and return elapsed time.
152 /*! \brief Log current path cost.
154 void log_path_cost();
155 /*! \brief Set normal distribution for sampling.
157 void set_sample_normal(
158 double x1, double x2,
159 double y1, double y2,
162 /*! \brief Set uniform distribution for sampling.
164 void set_sample_uniform(
165 double x1, double x2,
166 double y1, double y2,
169 /*! \brief Set uniform circle distribution for sampling.
171 void set_sample_uniform_circle();
172 RRTNode* use_nn; // Used for RRTExt12.
173 std::vector<RRTNode> tmp_steered_;
174 bool finishit = false;
175 double path_cost_before_opt_ = 9999;
178 /*! \brief Store RRT node to tree data structure.
180 virtual void store_node(RRTNode n);
183 std::tuple<bool, unsigned int, unsigned int>
184 collide(std::vector<std::tuple<double, double>> &poly);
185 virtual std::tuple<bool, unsigned int, unsigned int>
186 collide_steered_from(RRTNode &f);
187 virtual std::tuple<bool, unsigned int, unsigned int>
188 collide_tmp_steered_from(RRTNode &f);
189 virtual std::tuple<bool, unsigned int, unsigned int>
190 collide_two_nodes(RRTNode &f, RRTNode &t);
192 std::default_random_engine gen_;
193 std::normal_distribution<double> ndx_;
194 std::normal_distribution<double> ndy_;
195 std::normal_distribution<double> ndh_;
196 std::uniform_real_distribution<double> udx_;
197 std::uniform_real_distribution<double> udy_;
198 std::uniform_real_distribution<double> udh_;
199 std::uniform_int_distribution<unsigned int> udi1_;
200 std::uniform_int_distribution<unsigned int> udi2_;
201 virtual RRTNode *nn(RRTNode &t);
202 virtual std::vector<RRTNode *> nv(RRTNode &t);
203 void steer(RRTNode &f, RRTNode &t);
204 void tmp_steer(RRTNode &f, RRTNode &t);
205 virtual void steer1(RRTNode &f, RRTNode &t);
206 virtual void steer2(RRTNode &f, RRTNode &t);
207 /*! \brief Join steered nodes to RRT data structure
209 \param f RRT node to join steered nodes to.
211 void join_steered(RRTNode *f);
212 void join_tmp_steered(RRTNode *f);
213 virtual bool goal_found(RRTNode &f);
215 virtual bool connect();
219 struct { double x=0; double y=0; double b=0; double e=0; } entry;
220 bool entry_set = false;
221 struct { double x=0; double y=0; double h=0; } entry1;
222 struct { double x=0; double y=0; double h=0; } entry2;
223 bool entries_set = false;
224 std::vector<RRTNode *> steered1_;
225 std::vector<RRTNode *> steered2_;
227 /*! \brief Initialize RRT algorithm if needed.
230 /*! \brief Deinitialize RRT algorithm if needed.
232 virtual void deinit();
233 /*! \brief Return path found by RRT*.
235 virtual std::vector<RRTNode *> path();
236 /*! \brief Return ``true`` if algorithm should stop.
238 Update counters (iteration, seconds, ...) and return if
239 the current iteration should be the last one.
242 /*! \brief Return ``true`` if the algorithm should finish.
244 Finish means that the algorithm will not be resumed.
246 bool should_finish();
247 /*! \brief Return ``true`` if the algorithm shoud break.
249 Break means that the algorithm can be resumed.
252 /*! \brief Return ``true`` if algorithm should continue.
254 `pcnt_` is set to `scnt_`, so the difference is 0 and it can
255 start from scratch. After the `should_continue` is called,
256 there must be `while (rrts.next()) {}` loop.
258 bool should_continue();
259 /*! \brief Run next RRT* iteration.
262 /*! \brief Set sampling info.
264 Based on `sample_dist_type`, set proper distribution
265 parameters. The distribution parameters are relative to `front`
266 node in `nodes` (init).
269 \param x1 Mean x value.
270 \param x2 Standard deviation of x.
271 \param y1 Mean y value.
272 \param y2 Standard deviation of y.
273 \param h1 Mean h value.
274 \param h2 Standard deviation of h.
276 For uniform sampling:
277 \param x1 Minimum x value.
278 \param x2 Maximum x value.
279 \param y1 Minimum y value.
280 \param y2 Maximum y value.
281 \param h1 Minimum h value.
282 \param h2 Maximum h value.
284 For uniform circle sampling:
293 double x1, double x2,
294 double y1, double y2,
297 /*! \brief Generate JSON output.
300 /*! \brief Load JSON input.
302 void json(Json::Value jvi);
305 virtual double cost_build(RRTNode &f, RRTNode &t);
306 virtual double cost_search(RRTNode &f, RRTNode &t);
309 unsigned int icnt() const { return this->icnt_; }
310 double scnt() const { return this->scnt_; }
311 bool gf() const { return this->gf_; }
312 void gf(bool f) { this->gf_ = f; }
313 int sample_dist_type() const { return this->sample_dist_type_;}
314 void sample_dist_type(int t) { this->sample_dist_type_ = t; }
315 std::vector<RRTNode> &goals() { return this->goals_; }
316 std::vector<RRTNode> &nodes() { return this->nodes_; }
317 std::vector<Obstacle> &obstacles() { return this->obstacles_; }
318 std::vector<RRTNode> &samples() { return this->samples_; }
319 std::vector<RRTNode> &steered() { return this->steered_; }
324 /*! \brief Compute cumulative cost of RRT node.
326 \param t RRT node to compute cumulative cost to.
328 double cc(RRTNode &t);