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Questions tagged [odometry]

Odometry is the use of data from moving sensors to estimate change in position over time.

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2
votes
1answer
5k views

How to perform odometry on an arduino for a differential wheeled robot?

I am using a differential wheel robot for my project. I need to know the current coordinates of the robot with respect to it's initial position taken as the origin. I m doing the computation on an ...
0
votes
1answer
131 views

Need a mobile robot simulator that provides easier odometry funtions

I want a mobile robot to go from a starting position to a goal position. But, I don't want to calculate the pose from encoders. Instead I want to know if there exist such a simulator that provides ...
3
votes
1answer
422 views

Accurate Wheeled Robot Odometry

I'm looking for a "good" algorithm/model for wheeled odometry estimation. We have encoders on the two back wheels of the tricycle robot, and IMU on the controller board. Currently we use MEMS gyro for ...
5
votes
1answer
1k views

Simple Sensor Fusion for pose estimation

I am currently working on a balancing robot project, which features fairly low-cost sensors such as an 9-Dof IMU with the measurement states $\textbf{x}_\text{IMU} = \left[a_x, a_y, a_z, g_x, g_y, ...
3
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0answers
132 views

On-board monocular odometry for quadcopter stabilization

Has anyone done this with EKF/PID on a small microcontroller? Or know of code snippets to help implementing this?
4
votes
2answers
714 views

Structuring EKF to estimate pose and velocity with odometry inputs

I have a differential drive robot for which I'm building an EKF localization system. I would like to be able to estimate the state of the robot $\left[ x, y, \theta, v, \omega \right]$ where $x, y, \...
0
votes
1answer
139 views

Discover vector/angle between stereo camera pose and vehicle body

I have a calibrated stereo camera system that is mounted in a passenger car which means I am able to retrieve a point cloud from my stereo image. However, I need to find how well is the camera aligned ...
8
votes
4answers
10k views

Odometry vs Dead-reckoning

In terms of robotics, what are the differences between odometry and dead-reckoning? I read that odometry uses wheel sensors to estimate position, and dead-reckoning also uses wheel sensors, but "...
2
votes
1answer
848 views

How to get the projection matrix from odometry/tf data?

I would like to compare my results of visual Odometry with the groundtruth provided by the KITTI dataset. For each frame in the groundthruth, i have a projection matrix. For example: ...
2
votes
2answers
946 views

2 wheeled, 2 motor robot control

I decided to work on a 2 wheeled robot position mapping problem. For that I have 2 DC motors with encoders from pololu. I have the following two questions: Do I need to know the model of each motor ...
13
votes
4answers
7k views

What is inverse depth (in odometry) and why would I use it?

Reading some papers about visual odometry, many use inverse depth. Is it only the mathematical inverse of the depth (meaning 1/d) or does it represent something else. And what are the advantages of ...
3
votes
4answers
2k views

Public dataset for monocular visual odometry

I am planning to develop a monocular visual odometry system. Is there any indoor dataset available to the public, along with the ground truth, on which I can test my approach? Note: I am already ...
2
votes
1answer
80 views

Joint angle correction using LM

I have a camera mounted on a rotational joint. I need to calibrate the extrinsics of this camera. I can fix the camera at an estimated angle (facing the ceiling). Then I want to get the real angle. ...
2
votes
0answers
567 views

Correcting GPS track with visual odometry (sensor fusion)

I am trying to build low cost and precise outdoor positioning. I explored NS-RAW with RTKLIB - this would be doable but probably will need either a base station to get the correction data for rover or ...
4
votes
1answer
833 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 ...
2
votes
2answers
155 views

Passive ego-motion estimation vs active

I am doing research of ego-motion estimation and positioning in 6DoF space. And I found that apparently all systems are based on active RGB-D sensors, like Kinect. I understand, that such sensors ...
3
votes
1answer
3k views

Calculate covariance matrix from x,y,z data

In ROS I've recorded a bag file from a custom robot (in real world) that does not provide covariance matrix and I want to use /odom to feed an EKF, but covariance ...
8
votes
3answers
2k views

How can I improve the map in my Mobile Autonomous Robot using KINECT

A little background of my aim I am in the process of building a mobile autonomous robot which must navigate around an unknown area, must avoid obstacles and receive speech input to do various tasks. ...
2
votes
2answers
186 views

How to perform this reference system transformation?

I have two quaternions that indicate the initial orientation of a four wheel robot, each one in relative to one reference systems. The robot's orientation given by a quaternion q is not the same in ...
4
votes
1answer
198 views

Local Localisation with particle filter

I am doing Local Localisation with sonar, particle filter (i.e all particles are initially with robot pose). I have grip map of environment. When I execute algorithm in environment (where doors are ...
6
votes
3answers
969 views

Visual Odometry options? [closed]

What are the pros/cons of the different visual odometry options? Stereo Camera Optical Flow SLAM other? Criteria: how well it performs vs other odometry options/sensors (lidar, radar) sensor ...
16
votes
2answers
6k views

How to choose a good IMU for a wheeled robot?

At our lab, we have a several "Kurt" type robots (about the size of a Pioneer, six wheels, differential drive). The built-in gyroscopes are by now really outdated; the main problem is that the ...
17
votes
3answers
4k views

What are good methods for tuning the process noise on Kalman filters?

Most often tuning the Kalman filter noise matrices is done by trial and error or domain knowledge. Are there more principled ways for tuning all the Kalman filter parameters?