-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathmain.cpp
More file actions
74 lines (60 loc) · 2.37 KB
/
main.cpp
File metadata and controls
74 lines (60 loc) · 2.37 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
#include<iostream>
#include<string>
#include<vector>
#include<random>
#include "robot.h"
#include "particle_filter.h"
int main()
{
std::random_device rd;
std::mt19937 mt(rd());
std::uniform_real_distribution<double> dist(0, 1);
const double PI =3.141592653589793238463;
int world_size = 100;
std::vector<std::vector<double>> landmark_positions = { {20,20}, {80,80}, {20,80}, {80,20} };
Robot robot(0, 0, 0, world_size, landmark_positions);
robot.set_pose(10,10, PI);
robot.move(0.1, 5.0);
std::cout << "---------The robot is at pose---------" << std::endl;
robot.print_curr_pose();
std::cout << "-----------------------------------------------" << std::endl;
std::vector<double> Z = robot.sense_landmarks();
int N = 1000;
std::vector<Robot> robot_particles;
for(int i=0; i<N; i++)
{
Robot r(dist(mt)*world_size, dist(mt)*world_size, dist(mt)*2*PI, world_size, landmark_positions);
r.set_noise(0.005, 0.005, 2.0);
r.move(0.1, 5.0);
robot_particles.push_back(r);
}
std::vector<double> measurement_probabilities;
for(int i=0; i<N; i++)
{
std::vector<double> measurements = robot_particles[i].sense_landmarks(false);
ParticleFilter pf;
double mp = pf.measurement_probability(measurements, Z, robot_particles[i].s_noise);
measurement_probabilities.push_back(mp);
}
// printing the measurement probs.
std::cout << "---------measurement probabilities---------" << std::endl;
for(int i=0; i<measurement_probabilities.size(); i++)
{
std::cout << measurement_probabilities[i] << std::endl;
if(measurement_probabilities[i] > 0.5) {
std::cout << "Very likelyyyyyyyyyyyyyyy with meas prob " << measurement_probabilities[i] << std::endl;
robot_particles[i].print_curr_pose();
}
}
std::cout << "-----------------------------------------------" << std::endl;
ParticleFilter pf;
std::vector<Robot> filtered_robots = pf.resampling_wheel(measurement_probabilities, robot_particles);
// Printing the selected particles.
std::cout << "--------Filtered Particles---------" << std::endl;
for(int i=0; i<filtered_robots.size(); ++i)
{
filtered_robots[i].print_curr_pose();
}
std::cout << "-----------------------------------------------" << std::endl;
return 0;
}