Contents
Where can I find the Kalman filter code?
This text file ( obj_pose-laser-radar-synthetic-input.txt) has sensor readings from Laser and Radar along with reading’s timestamp and ground truth values. Till this point, we have only covered basic Kalman filter algorithm, hence in this coding exercise we will only be using Laser readings from the above stated input file.
What are the stages of the Kalman filter?
We assume that the measurements noises are modeled with a Gaussian distribution with a mean of 0 and a variance: The Kalman filter has two main stages: Prediction stage, and a correction stage.
Why is Kalman filter used in GPS receivers?
In the GPS receiver, the measurements uncertainty depends on many external factors such as thermal noise, atmospheric effects, slight changes in satellite’s positions, receiver clock precision and many more. Kalman Filter is one of the most important and common estimation algorithms.
Who is Alex Becker and what is Kalman filter?
My name is Alex Becker. I am from Israel. I am an engineer with more than 15 years of experience in the Wireless Technologies field. As a part of my work, I had to deal with Kalman Filters, mainly for tracking applications. Constructive criticism is always welcome. I would greatly appreciate your comments and suggestions. Please drop me an email .
How are matrix A and P used in sensor fusion?
For details about structure of P and A matrices, refer to Part 1 where its explained in more depth. Basically matrix A is used to implement kinematics equations of distance, speed and time, and matrix P is State Covariance Matrix having variances in x, y, vx and vy as its diagonal elements.
How are contextual variables used in GPS fusion?
Contextual variables are introduced to de ne fuzzy validity domains of each sensor. The algorithm increases the reliability of the position information. A simulation of this algorithm is then made by fusing GPS and IMU data coming from real tests on a land vehicle.
Why do we use RMSE in sensor fusion?
RMSE (Root Mean Square Error) is used to judge performance of our algorithm against ground truth values. We initialize matrix P and A. For details about structure of P and A matrices, refer to Part 1 where its explained in more depth.