ld_noise.c

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#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>
 
#include <math.h>
#include <libgen.h>
 
#include <options/options.h>
#include "../csm/csm_all.h"
 
struct ld_noise_params {
        int seed;
        double discretization;
        double sigma;
        const char* file_input;
        const char* file_output;
        int lambertian;
};
 
int main(int argc, const char * argv[]) {
        sm_set_program_name(argv[0]);
        
        options_banner("ld_noise: Adds noise to readings in a scan");
        
        struct ld_noise_params p;
        
        struct option* ops = options_allocate(20);
        options_double(ops, "discretization", &p.discretization, 0.0, 
                "Size of discretization (disabled if 0)");
        options_double(ops, "sigma", &p.sigma, 0.0, 
                "Std deviation of gaussian noise (disabled if 0)");
        options_int(ops, "lambertian", &p.lambertian, 0, 
                "Use lambertian model cov = sigma^2 / cos(beta^2) where beta is the incidence. Need have alpha or true_alpha.");
        options_int(ops, "seed", &p.seed, 0, 
                "Seed for random number generator (if 0, use GSL_RNG_SEED env. variable).");
        options_string(ops, "in", &p.file_input, "stdin", "Input file ");
        options_string(ops, "out", &p.file_output, "stdout", "Output file ");
                
                
        if(!options_parse_args(ops, argc, argv)) {
                fprintf(stderr, "A simple program for adding noise to sensor scans.\n\nUsage:\n");
                options_print_help(ops, stderr);
                return -1;
        }
 
        FILE * in = open_file_for_reading(p.file_input);
        if(!in) return -3;
 
        FILE * out = open_file_for_writing(p.file_output);
        if(!out) return -2;
 
 
        gsl_rng_env_setup();
        gsl_rng * rng = gsl_rng_alloc (gsl_rng_ranlxs0);
        if(p.seed != 0)
        gsl_rng_set(rng, (unsigned int) p.seed);
 
        LDP ld; int count = 0;
        while( (ld = ld_from_json_stream(in))) {
                if(!ld_valid_fields(ld))  {
                        sm_error("Invalid laser data (#%d in file)\n", count);
                        continue;
                }
                
                int i;
                for(i=0;i<ld->nrays;i++) {
                        if(!ld->valid[i]) continue;
                        
                        double * reading = ld->readings + i;
                        if(p.sigma > 0) {
                                double add_sigma = p.sigma;
                                
                                if(p.lambertian) {
 
                                        int have_alpha = 0;
                                        double alpha = 0;
                                        if(!is_nan(ld->true_alpha[i])) {
                                                alpha = ld->true_alpha[i];
                                                have_alpha = 1;
                                        } else if(ld->alpha_valid[i]) {
                                                alpha = ld->alpha[i];;
                                                have_alpha = 1;
                                        } else have_alpha = 0;
 
                                        if(have_alpha) {
                                                /* Recall that alpha points outside the surface */
                                                double beta = (alpha+M_PI) - ld->theta[i];
                                            add_sigma = p.sigma / cos(beta);
                                        } else {
                                                sm_error("Because lambertian is active, I need either true_alpha[] or alpha[]");
                                                ld_write_as_json(ld, stderr);
                                                return -1;
                                        }
                                        
                                } 
                                
                           *reading += gsl_ran_gaussian(rng, add_sigma);
                                
                                if(is_nan(ld->readings_sigma[i])) {
                                        ld->readings_sigma[i] = add_sigma;
                                } else {
                                        ld->readings_sigma[i] = sqrt(square(add_sigma) + square(ld->readings_sigma[i]));
                                }
                        }
                        if(p.discretization > 0)
                                *reading -= fmod(*reading , p.discretization);
                }
        
                ld_write_as_json(ld, out);
                ld_free(ld);
        }
        
        return 0;
}