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);
94 /*! \brief Polygon obstacle basic class.
96 \param poly Border polygon of the obstacle.
100 std::vector<std::tuple<double, double>> poly_;
103 std::vector<std::tuple<double, double>> &poly()
111 /*! \brief RRT* algorithm basic class.
113 \param icnt RRT algorithm iterations counter.
114 \param goals The vector of goal nodes.
115 \param nodes The vector of all nodes in RRT data structure.
116 \param samples The vector of all samples of RRT algorithm.
117 \param sample_dist_type Random distribution type for sampling function (0 -
118 normal, 1 - uniform, 2 - uniform circle)
122 unsigned int icnt_ = 0;
123 std::chrono::high_resolution_clock::time_point tstart_;
127 int sample_dist_type_ = 0;
129 std::vector<RRTNode> goals_;
130 std::vector<RRTNode> nodes_;
131 std::vector<Obstacle> obstacles_;
132 std::vector<RRTNode> samples_;
133 std::vector<RRTNode> steered_;
134 double log_path_time_ = 0.1;
135 std::vector<double> log_path_cost_;
137 /*! \brief Update and return elapsed time.
140 /*! \brief Log current path cost.
142 void log_path_cost();
143 /*! \brief Set normal distribution for sampling.
145 void set_sample_normal(
146 double x1, double x2,
147 double y1, double y2,
150 /*! \brief Set uniform distribution for sampling.
152 void set_sample_uniform(
153 double x1, double x2,
154 double y1, double y2,
157 /*! \brief Set uniform circle distribution for sampling.
159 void set_sample_uniform_circle();
161 double path_cost_before_opt_ = 9999;
164 /*! \brief Store RRT node to tree data structure.
166 virtual void store_node(RRTNode n);
169 std::tuple<bool, unsigned int, unsigned int>
170 collide(std::vector<std::tuple<double, double>> &poly);
171 virtual std::tuple<bool, unsigned int, unsigned int>
172 collide_steered_from(RRTNode &f);
173 virtual std::tuple<bool, unsigned int, unsigned int>
174 collide_two_nodes(RRTNode &f, RRTNode &t);
176 std::default_random_engine gen_;
177 std::normal_distribution<double> ndx_;
178 std::normal_distribution<double> ndy_;
179 std::normal_distribution<double> ndh_;
180 std::uniform_real_distribution<double> udx_;
181 std::uniform_real_distribution<double> udy_;
182 std::uniform_real_distribution<double> udh_;
183 virtual RRTNode *nn(RRTNode &t);
184 virtual std::vector<RRTNode *> nv(RRTNode &t);
185 void steer(RRTNode &f, RRTNode &t);
186 /*! \brief Join steered nodes to RRT data structure
188 \param f RRT node to join steered nodes to.
190 void join_steered(RRTNode *f);
191 virtual bool goal_found(RRTNode &f);
196 /*! \brief Initialize RRT algorithm if needed.
199 /*! \brief Deinitialize RRT algorithm if needed.
201 virtual void deinit();
202 /*! \brief Return path found by RRT*.
204 virtual std::vector<RRTNode *> path();
205 /*! \brief Return ``true`` if algorithm should stop.
207 Update counters (iteration, seconds, ...) and return if
208 the current iteration should be the last one.
211 /*! \brief Return ``true`` if the algorithm should finish.
213 Finish means that the algorithm will not be resumed.
215 bool should_finish();
216 /*! \brief Return ``true`` if the algorithm shoud break.
218 Break means that the algorithm can be resumed.
221 /*! \brief Return ``true`` if algorithm should continue.
223 `pcnt_` is set to `scnt_`, so the difference is 0 and it can
224 start from scratch. After the `should_continue` is called,
225 there must be `while (rrts.next()) {}` loop.
227 bool should_continue();
228 /*! \brief Run next RRT* iteration.
231 /*! \brief Set sampling info.
233 Based on `sample_dist_type`, set proper distribution
234 parameters. The distribution parameters are relative to `front`
235 node in `nodes` (init).
238 \param x1 Mean x value.
239 \param x2 Standard deviation of x.
240 \param y1 Mean y value.
241 \param y2 Standard deviation of y.
242 \param h1 Mean h value.
243 \param h2 Standard deviation of h.
245 For uniform sampling:
246 \param x1 Minimum x value.
247 \param x2 Maximum x value.
248 \param y1 Minimum y value.
249 \param y2 Maximum y value.
250 \param h1 Minimum h value.
251 \param h2 Maximum h value.
253 For uniform circle sampling:
262 double x1, double x2,
263 double y1, double y2,
266 /*! \brief Generate JSON output.
269 /*! \brief Load JSON input.
271 void json(Json::Value jvi);
274 virtual double cost_build(RRTNode &f, RRTNode &t);
275 virtual double cost_search(RRTNode &f, RRTNode &t);
278 unsigned int icnt() const { return this->icnt_; }
279 double scnt() const { return this->scnt_; }
280 bool gf() const { return this->gf_; }
281 void gf(bool f) { this->gf_ = f; }
282 int sample_dist_type() const { return this->sample_dist_type_;}
283 void sample_dist_type(int t) { this->sample_dist_type_ = t; }
284 std::vector<RRTNode> &goals() { return this->goals_; }
285 std::vector<RRTNode> &nodes() { return this->nodes_; }
286 std::vector<Obstacle> &obstacles() { return this->obstacles_; }
287 std::vector<RRTNode> &samples() { return this->samples_; }
288 std::vector<RRTNode> &steered() { return this->steered_; }
293 /*! \brief Compute cumulative cost of RRT node.
295 \param t RRT node to compute cumulative cost to.
297 double cc(RRTNode &t);