All Questions

Filter by
Sorted by
Tagged with
0
votes
1answer
52 views

EKF SLAM : SLAM specific Jacobians for new landmarks

I am currently trying to understand the books SLAM for dummies and Simulataneous localization and mapping with the extended Kalman filter to implement slam. I have understood steps 1 and 2 SLAM for ...
0
votes
2answers
291 views

IMU and encoder fusion

I'm trying to simulate data fusion for a 4-wheeled mobile robot using ekf and am using IMU and wheel encoders as sensors,where IMU measures linear acceleration and angular velocity and encoder ...
1
vote
1answer
80 views

Fusing absolute robot localization from markers

I have a system which is composed of a rig of 8 cameras which are used for detecting markers in the environment and which outputs 8 estimates of the absolute robot's position and orientation. Now, I ...
1
vote
1answer
49 views

Why information filter called information filter

We all know Information Filter is a dual representation of kalman filter. The main difference between information filter and kalman filter is the way the Gaussian belief is represented. In kalman ...
1
vote
0answers
34 views

Kalman filter with measurements indirectly determining state

I have a question regarding a 'fundamental' understanding of the Kalman filter. So, for my application I'm trying to estimate state $x = [\theta~\dot{\theta}~\ddot{\theta}]$ of a robot based on ...
0
votes
1answer
29 views

Alternate perspective other than probabilistic perspective to implement slam

I am bother on some line which is written is Probabilistic Robotics book by Dr.Sebestian Thrun From a probabilistic perspective, there are two main forms of the SLAM problem,which are both of equal ...
0
votes
2answers
715 views

Position Tracking using IMU

I am working on a robot tracking application, where our main tool (a camera) for locating the x & y position of the robot is working on a quite low frequency. Therefore, I am looking for ways to ...
1
vote
0answers
22 views

Lost on SEIF Slam repeated update landmark

I am working on Sparse Extended Information Slam. I take the reference from Probabilistic Robotics, by Dr.Sebastian Thrun (Chapter 12,page 303). I have some doubt about the implementation of the ...
1
vote
1answer
43 views

SEIF slam: Effect on information matrix when there is no landmarks

I studied about Sparse Extended Information Filter slam. I want to clarify some points regarding this topic. As per the sparse extended information(SEIIF) slam when the robot sees some landmarks it ...
2
votes
1answer
97 views

SEIF ,online version of Graph slam create doubt in Motion Update state

I have a thesis work about Graph Slam The GraphSLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures I try to implement it with the help of this paper but during the ...
1
vote
1answer
99 views

Graph Slam Landmark remove and then again add it

I try to implement Graph Slam in real dataset. My data set have some data that describe that the Robot observe same landmark over and over with a large amount of time difference. Prof. Sebastian ...
1
vote
2answers
46 views

How to detect loop in robot movement observing odometer data

I have some odometer data. This data are based upon robot movement. I can transfer those raw data to a motion equation from where I get x,y,and theta co-ordinate of a Robot. If I plot those x,y ...
6
votes
3answers
1k views

How exactly does sensor fusion work in Kalman filters?

I've been looking into implementations of Extended Kalman filters over the past few days and I'm struggling with the concept of "sensor fusion". Take the fusion of a GPS/IMU combination for example, ...
1
vote
0answers
62 views

How to apply Kalman filter in this case?

I have some straight and curve pieces with numbers, they are used to build tracks (of $5$ lanes) for my cars (figure $1$), I can send commands to the cars using an SDK on the Raspberry (set the speed ...
0
votes
0answers
31 views

Kalman filter and ekf main difference in elaborate way

I am studying about various filtering techniques for Robot pose esitimation. I came to know two very well known filter technique Kalman Filter and Extended Kalman Filter. To know about this two ...
0
votes
1answer
415 views

How to convert/transform robot local frame to global frame to use in Kalman Filter?

I'm currently working on the iRobot Create 2 platform using a RaspberryPi (Python) and ROS. I have an indoor navigation/ GPS system, which can provide me with x,y coordinates within its coordinate ...
0
votes
2answers
111 views

Robot heading uncertainty values

I'm tracking the state of a robot using an EKF defined by: $$(x,y,\theta)$$ where $x$ and $y$ are the coordinates in the ground-plane and $\theta$ the heading angle. I initialized the covariance ...
1
vote
1answer
512 views

Process noise and Measurement noise in Kalman filter

I am doing the robot localisation project. Now I stuck on the effect of measurement and process noise in Kalman filtering. Could you please explain what impacts they have while estimating the position ...
0
votes
2answers
125 views

explanation of kalman filter

I have gone through my lecture notes but I can't seem to figure out the five different steps of a Kalman filter and how these steps are Divided into prediction and correction and how the state and ...
2
votes
2answers
865 views

What's the diffrence between $H_2$ and $H_\infty$ controll?

There a two controllers named $H_2$ and $H_\infty$. Can someone explain if: They have have guaranteed stability margins? Do they have a Kalman filter? Are they for both SISO and MIMO systems? Can I ...
1
vote
1answer
171 views

What is the intuitive explanation of using Jacobian of observation model while calculating Kalman gain in EKF SLAM?

The idea of using Kalman gain in EKF SLAM is to figure out how much we trust our motion model and sensor/observation model. As explained in The Extended Kalman Filter: An Interactive Tutorial for Non-...
4
votes
2answers
853 views

What is the bicycle model for a dynamic robot?

I was asked this in a phone interview for a robotics job. Googling has not really helped. I assume it is some sort of state prediction model that can be used in a Kalman filter. Can anyone give me a ...
1
vote
0answers
483 views

Calculate input parameters of CTRV model

I am using Constant Turn Rate and Veloctity (CTRV) model to predict the position of the vehicle.The CTRV model assumes a circular path between two consecutive time steps of the car as depicted in the ...
2
votes
2answers
672 views

State estimation of mobile robot

For a mobile robot - four wheels, front wheel steering - I use the following (bicycle) prediction model to estimate its state based on accurate radar measurements only. No odometry or any other input ...
2
votes
2answers
146 views

Estimating state of moving object from other moving object

What is the best way to estimate the state [x-position; y-position; heading (yaw angle); velocity; acceleration; curvature (or yaw rate)] of a moving ...
5
votes
1answer
783 views

Regarding Kalman filter and estimating heading with magnetic compass

I have trouble estimating the heading when close to the "pivot" point of the compass, and could use some input on how to solve it. I have set up my angles to be from 0-360 degrees during the testing ...
4
votes
1answer
166 views

EKF-SLAM: Shrink covariance matrix on one direction

I have implemented an EKF on a mobile robot (x,y,theta coordinates), but now I've a problem. When I detect a landmark, I would like to correct my estimate only on a defined direction. As an example, ...
0
votes
1answer
61 views

where to get this reference about Kalman filter, technical report

I'm sorry for this question that might not fit in here however, I would like to give it a shot. I've chosen this stack since the question is somehow related to mobile robots. I've came across a paper ...
3
votes
2answers
975 views

How do I choose the best filter for dead reckoning with an IMU?

I'm searching filter to reduce noise and smooth the signal while dead reckoning with an IMU (6dof gyro+accelerometer). What are the differences/advantages/disadvantages of the following filters: ...
4
votes
1answer
832 views

Kalman filter Issue - GPS Odometry Fusion

I am working on estimating a robots pose using Odometry and GPS. My first problem is that all kinematic model i have seen for a differential drive robot proposes using the displacement of the left ...
10
votes
1answer
2k views

Why should I still use EKF instead of UKF?

The Unscented Kalman Filter is a variant of the Extended Kalman Filter which uses a different linearization relying on transforming a set of "Sigma Points" instead of first-order Taylor series ...
2
votes
1answer
162 views

Point tracking from a mobile robot

How can I track a fixed point $P=(x_P, y_P)$ from a moving robot? Coordinates of $P$ are relative to the state/pose of the robot (x axis looks forward the robot and y axis is positive on the right ...
9
votes
2answers
1k views

Extended Kalman Filter with Laser Scan + Known Map

I am currently working on a project for school where I need to implement an extended Kalman Filter for a point robot with a laser scanner. The Robot can rotate with 0 degree turn radius and drive ...