Gonzalo Ruiz de Villa gonzaloruizdevilla

gonzaloruizdevilla / main.cpp

Created February 13, 2019 08:55

Coding the Motion Model

	#include <iostream>
	#include <vector>

	#include "helpers.h"

	using std::vector;

	vector<float> initialize_priors(int map_size, vector<float> landmark_positions,
	float position_stdev);

gonzaloruizdevilla / helpernormpdf.cpp

Created February 13, 2019 08:47

helpernormpdf.cpp

	#ifndef HELP_FUNCTIONS_H
	#define HELP_FUNCTIONS_H

	#include <math.h>

	class Helpers {
	public:
	// definition of one over square root of 2*pi:
	constexpr static float STATIC_ONE_OVER_SQRT_2PI = 1/sqrt(2*M_PI);

gonzaloruizdevilla / angular.json

Created November 24, 2018 10:32

Chrome Extension angular.json

	{
	"$schema": "./node_modules/@angular/cli/lib/config/schema.json",
	"version": 1,
	"newProjectRoot": "projects",
	"projects": {
	"AngularExtensionProject": {
	"root": "",
	"sourceRoot": "src",
	"projectType": "application",
	"prefix": "app",

gonzaloruizdevilla / manifest.json

Created November 22, 2018 18:30

manifest.json

	{
	"manifest_version": 2,
	"name": "Angular Extension",
	"description": "Una extension construida con Angular",
	"version": "1.0",
	"browser_action": {
	"default_icon": "icon.png",
	"default_popup": "index.html"
	},
	"permissions": [],

gonzaloruizdevilla / angularextension.sh

Created November 22, 2018 18:13

angularextension.sh

ng new AngularExtensionProject

gonzaloruizdevilla / angularcli.sh

Last active November 22, 2018 18:13

Angular Chrome Extension

npm install -g @angular/cli

gonzaloruizdevilla / main.cpp

Last active November 20, 2018 22:19

RMSE

	#include <iostream>
	#include "Dense"
	#include <vector>

	using namespace std;
	using Eigen::MatrixXd;
	using Eigen::VectorXd;
	using std::vector;

	VectorXd CalculateRMSE(const vector<VectorXd> &estimations,

gonzaloruizdevilla / main.cpp

Created November 20, 2018 19:00

Jacobian Matrix Part 1

	#include <iostream>
	#include "Dense"
	#include <vector>
	#include <math.h>

	using namespace std;
	using Eigen::MatrixXd;
	using Eigen::VectorXd;

	MatrixXd CalculateJacobian(const VectorXd& x_state);

gonzaloruizdevilla / kalman_filter.cpp

Last active November 20, 2018 17:23

Kalman Filter: Laser Measurements

gonzaloruizdevilla / kalman_filter.cpp

Created November 20, 2018 11:44

Kalman Filter Equations in C++ Part 1

	// Write a function 'filter()' that implements a multi-
	// dimensional Kalman Filter for the example given
	//============================================================================
	#include <iostream>
	#include "Dense"
	#include <vector>

	using namespace std;
	using namespace Eigen;