Questions tagged [sensor-fusion]

Sensor fusion is a process by which data from several different sensors are "fused" to compute something more than could be determined by any one sensor alone.

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How to fuse IMU with encoders in EKF

Background I have a car-like mobile robot (4 wheels, where the forward ones are steering wheels) and I want to estimate its pose and velocity assuming 2D planar motion. I'm trying to solve this ...
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Gating/Filtering spurious measurements for redundant sensors using Kalman Filter

I am using a simple Kalman filter to fuse two redundant range finders (1D) and the data is rich in outliers/spikes. The observation matrix is as follows: ...
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Get rotation of IMU data snapshot

I received snippets of data of an IMU with 9 DoF in motion. For these I wanted to get their rotation by angles relative to the earth frame. My goal is to receive ...
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Fusing two relative measurement sensors using extended kalman filter

I’m trying to fuse data from two wheel encoders and an optical flow sensor to localize a turtlebot. I combine displacement coming from optical flow sensor with imu to form the model for turtlebot. ...
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1 answer
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Include information on the environment in map-aware particle filter

I have a robot equipped with some sensors for estimating the movement in a 2D environment (IMU, odometer). The robot is free to move within an area delimited by some walls. The map of the environment (...
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IMU Senosr fusion algorithm of gyro and accelerometer during acceleration of vehicle

Hello so we have a car with 10 IMUs mounted at different locations of the car and the idea is the measure the centripetal force at each location of the car and compare it to each other. We also need ...
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Choosing the correct settings for Mahony or Madgwick AHRS filters

I'm using the Adafruit Mahony / Madgwick AHRS filters to get quaternions (Euler angles to better understand output), using a calibrated BMX160 sensor. I'm polling the sensor at 100Hz. I've read ...
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188 views

Using EKF to fuse wheel encoders, IMU and GPS

I have a robot equipped with: 3D accelerometer measuring $a_x$, $a_y$, $a_z$ 3D gyroscope measuring $ω_x$, $ω_y$, $ω_z$ 3D magnetometer measuring $m_x$, $m_y$, $m_z$ wheel encoders measuring $v_l$, $...
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Compensation of sudden impacts/shocks in adaptive AHRS sensor fusion algorithms

Background I have a 9-DOF MEMS-IMU and trying to estimate the orientation (roll, pitch and yaw) in scenarios (e.g. car crash) where sudden shocks (mainly linear) lead to high external accelerations ...
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80 views

Why doesn't yaw angle return to its 0 state after rotations?

I'm using STM32F4 mcu with MPU6050 on it. I want to get very accurate yaw angle using gyroscope with Madgwick filter. I tried lots of things: with and without gyro thresholds, with and without ...
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188 views

Sensor fusion with extended Kalman filter for roll and pitch

I'm trying to implement an extended Kalman filter to fuse accelerometer and gyroscope data to estimate roll ($\phi$) and pitch ($\theta$). I've found a lot of kalman filter questions but couldn't find ...
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Merging multiple LIDARs real time

Is there a standard practice for merging the pointclouds generated by several LIDARs when there is overlap? For example, if my vehicle has two LIDARS (front and back) I'd rather fuse and deal with a ...
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Covariance of fused poses. Should it be normalised by the number of poses?

I came across this paper from T. Barfoot and P. Furgale: "Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems" Link: http://ncfrn.mcgill.ca/members/pubs/...
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Why does AHRS system with Madgwick filter has so big drift?

I have an MPU9250 on my PCB and I use an AHRS system with a Madgwick filter to get yaw angle. I want to get very accurate and non-drifting yaw angle, but, for unknown reasons, I can't. I calibrated ...
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3D LiDAR synchronization with RGB Camera

There's a general procedure for estimating projection transformation between camera and 3d LiDAR but there's a secondary problem which is associating pixels with depths in a grid which isn't uniformly ...
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266 views

robot_pose_ekf won't publish any messages

I am having trouble getting the robot_pose_ekf package to publish messages. I launch it with this launch file. ...
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How interpolate position from previous position, heading and speed

I want to track a UAV using GPS data. The UAV sends GPS coordinates, heading and ground speed to my tracking device with a potentially varying update rate of 0.5-10Hz. This causes the recorded ...
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How to get odometry from propeller rotation signals knowing that they can rotate to maximum value?

m trying to get Velocity in order to control underwater swarm ROV. I can use the acceleration and to Euler integration but the error will be accumulated over time. As we are having a swarm (many small ...
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What would be a way to estimate IMU noise covariance matrix?

Weirdly enough, my robot platform which has an official ROS package supported by a manufacturer doesn't provide any covariance matrices of its sensors. So, I'm basically trying to estimate these ...
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1 answer
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Sensor fusion in a metal heavy environment

I am trying to get heading information of a forklift. I've designed a small PCB for this purpose. This PCB has a 3 axis magnetometer and a 6 axis gyroscope-accelerometer (Z- axis looking towards the ...
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Gazebo sensor plugins for barometric pressure Sensor with geometry_msgs/PointStamped?

Im doing some underwater UUV Gazebo simulation and would like to use the hector_pose_estimationhector_pose_estimation package to fuse IMU and Fluid pressure sensors input for pose estimation. But when ...
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Can a Madgwick IMU filter be used to determinate the tilt angle with respect to the horizontal plane

I am using a 3-axis accelerometer and a 3-axis gyroscope to estimate the tilte angle between the X axis of the IMU sensor and the ground (horizontal plane). My robot is stationary at power up, so I ...
2 votes
2 answers
292 views

GPS+IMU sensor fusion not based on Kalman Filters

Do you know any papers on or implementations of GPS + IMU sensor fusion for localization that are not based on an EKF (Extended Kalman Filter) or UKF (Unscented Kalman Filter)? I'm asking is because ...
3 votes
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Nonlinear Sensor Fusion with Space-Time Finite Element and Static Condensation?

I have recently implemented an algorithm for the nonlinear fusion of GNSS, barometer, magnetometer, accelerometer and gyroscope data. The algorithm is based on a space-time finite element where the ...
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1 vote
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How to use knowledge of sensor noise

Reasoning about the meaning of uncertainty of sensor measurement I ran into a doubt: (1) When we talk about sensor uncertainty, we often model it as a Gaussian distribution $\mathcal{N}(\boldsymbol{z},...
1 vote
1 answer
263 views

How to actually fuse sensor using Extended Kalman Filter

Background I'm working on 4-omniwheel mobile robot. It have encoder on each wheel and MPU 6050 IMU. The robot positioning suffer a great error because slip, so i try to increase the accuracy of ...
1 vote
1 answer
185 views

No difference between UKF and EKF for SLAM

I built EKF and UKF SLAM algorithms. The problem is that I expected to see a difference because of the more precise approximation of the system in the UKF. Here's a screenshot from the estimated path ...
1 vote
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Fusing cross-correlated measurements for mobile robot's localization using unscented kalman filter (ukf)

I'm currently working on a mobile robot's indoor localization. On the perception side, I can only rely on a 2D lidar and wheel odometry. I have used these sources as input of different localization's ...
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1 vote
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355 views

GPS Course vs IMU Course

Im currently working with Kalman Filter for position and velocity, one of the important parameters that im using is the heading that the sensor fusion of the imu gives me, but i have seen that the GPS ...
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When Implementing Madgwick filter for attitude estimation, the calculated Euler angles are drifting significantly. What could be the reason?

The Beta value is set according to the original report, which specifies for IMU B-0.033. and the sensor data acquisition and filter update is periodic at 200Hz. The angular velocity values from the ...
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IMU-Camera Senor Fusion

I am working on fusing IMU and Camera Sensor Fusion for the Drone to precisely land on the target location. With the Camera, I am tracking the April Tag which is on the ground. This gives me the x,y,z ...
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259 views

GNSS Dead Reckoning -- Sensor Fusion Filter not necessary?

My question might be a bit off-topic but I don't know where else to ask. When I do have a GNSS Module with integrated IMU and <...
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1 vote
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Sensor fusion of GNSS and IMU using UKF

I do have a land-based robot with an IMU and a GNSS receiver. From the IMU, I get the velocity and acceleration in both $x$ and $y$ directions. From the GNSS receiver, I get the latitude and ...
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2 votes
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Kalman Filter for 2d pose

I'm really sorry if this is a dumb question, but I don't have a clue on how to do this. I'm trying to write a kalman filter with a State vector of : {x, y, ẋ, ẏ, ẍ, ÿ } To estimate the 2 dimensional ...
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1 vote
1 answer
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Bias correction for multiple sensor fusion through Kalman Filtering

I am learning Kalman Filters and was working on a simple example: Temperature measurement of a room by using 4 thermometers(different biases and noises) if i consider that there is no bias in the ...
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1 vote
1 answer
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What communication bus is used in state of the art systems to implement a synchronization signal?

I have a robotic system with many sensors that need to have very accurate localization associated with the data they gather. We have a geolocalization system that acquire localization at high speed (...
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1 answer
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EKF sensor fusion

What is the standard way to fuse multiple sensor measurements in an EKF framework? Say you have Odometry, IMU and some form of Lidar which can produce landmarks. EKF is normally presented as a ...
3 votes
2 answers
289 views

Is it possible to track position using gyroscope and accelerometer without a magnetometer?

I'm looking for help on a project where I will be placing sensor data in 3D space using augmented reality. Most solutions I have found for finding position with an IMU involve the magnetometer, but ...
2 votes
1 answer
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how to calibrate gyroscope using raw gyro data?

I wrote a simple code for where I take 500 samples with stationary gyro and subtract those offset values to get calibrated gyro data. Question: Is this much calibration enough to implement this gyro ...
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1 answer
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what kind of processing is required on raw IMU data before it is fed into a filter?

Im working on quadcopter. At this stage im coding a reference system for quadcopter using 10DOF board.At this stage im at the point of only getting raw data values from accelerometer, gyroscope, & ...
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1 answer
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How to Correct for Gyroscopic Drift?

I know similar questions have been asked before, but I have researched for hours now and have not been able to find a viable solution. I have a Raspberry Pi 4 and the Adafruit LSM9DS1 IMU, which has ...
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Fusing IMU sensor with odometry

Would fusing Odometry estimation with IMU sensor increase the accuracy of estimation for planar differential drive robots?
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Drone Horizontal Speed Measurement

Assuming no GPS is available, what can be used to measure the horizontal speed of a hypothetical drone? Sensor mass and size don't need to be taken into account. Could small Doppler radars , maybe ...
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How to obtain airspeed data

I want to measure the airspeed on a flying vehicle and get the data with a microcontroller. Note that, there will not be any control mechanism on the flying object, it will be flying mechanicaly/...
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How does one estimate motion from sparse encoders and IMU-Gyro data?

I have a robot which has (for simplicity) only one degree of freedom; it rotates about the z-axis (think like a crane), and has no slip. The shaft encoder delivers data in 0.1° increments, so when ...
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4 votes
2 answers
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Implementing ESKF

I'm currently struggling with implementing the Multiplicative Kalman Filter or Error State Kalman Filter as described by Landis Markley in Attitude Error Representations for Kalman Filtering. Sadly ...
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1 answer
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SLAM techniques based on contact, odometry and one front camera

Consider a mobile robot provided with a contact sensor that randomly travels in a closed environment, changing direction every time an obstacle is encountered. Is it possible to reconstruct the 2D map ...
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Fusing Multiple Lidars Into 1 Point Cloud

I have a car with 8 lidars, each with a field of view of 60 degrees. My car looks like this How can I merge all the lidar readings into 1 point cloud?
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686 views

Convert Vehicle coordinates to World coordinates for positioning

I'm tracking the position of a vehicle along a certain trajectory using the Kalman filter and the idea is to check for improvements in position estimation through fusion of data from multiple sensors (...
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1 answer
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How to synchronise data for fusion in Kalman from multiple sensors with different timestamp information?

I'm using Kalman filter to track the position of a vehicle and receive position data from 2 sensors: A GPS sensor and an Ultrasonic sensor for which I want to implement sensor fusion into the Kalman. ...
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