ekf.h
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2014, 2015, 2016, Charles River Analytics, Inc.
3  * All rights reserved.
4  *
5  * Redistribution and use in source and binary forms, with or without
6  * modification, are permitted provided that the following conditions
7  * are met:
8  *
9  * 1. Redistributions of source code must retain the above copyright
10  * notice, this list of conditions and the following disclaimer.
11  * 2. Redistributions in binary form must reproduce the above
12  * copyright notice, this list of conditions and the following
13  * disclaimer in the documentation and/or other materials provided
14  * with the distribution.
15  * 3. Neither the name of the copyright holder nor the names of its
16  * contributors may be used to endorse or promote products derived
17  * from this software without specific prior written permission.
18  *
19  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
20  * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
21  * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
22  * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
23  * COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
24  * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
25  * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
26  * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27  * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
28  * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
29  * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
30  * POSSIBILITY OF SUCH DAMAGE.
31  */
32 
33 #ifndef ROBOT_LOCALIZATION_EKF_H
34 #define ROBOT_LOCALIZATION_EKF_H
35 
37 
38 #include <fstream>
39 #include <vector>
40 #include <set>
41 #include <queue>
42 
44 {
45 
53 class Ekf: public FilterBase
54 {
55  public:
62  explicit Ekf(std::vector<double> args = std::vector<double>());
63 
66  ~Ekf();
67 
72  void correct(const Measurement &measurement);
73 
82  void predict(const double referenceTime, const double delta);
83 };
84 
85 } // namespace RobotLocalization
86 
87 #endif // ROBOT_LOCALIZATION_EKF_H
Extended Kalman filter class.
Definition: ekf.h:53
void correct(const Measurement &measurement)
Carries out the correct step in the predict/update cycle.
Definition: ekf.cpp:54
Structure used for storing and comparing measurements (for priority queues)
Definition: filter_base.h:61
~Ekf()
Destructor for the Ekf class.
Definition: ekf.cpp:50
void predict(const double referenceTime, const double delta)
Carries out the predict step in the predict/update cycle.
Definition: ekf.cpp:209
Ekf(std::vector< double > args=std::vector< double >())
Constructor for the Ekf class.
Definition: ekf.cpp:45


robot_localization
Author(s): Tom Moore
autogenerated on Wed Feb 3 2021 03:34:02