sensor-fusion

Madgwick's sensor fusion algorithm on iOS

由 不打扰是莪最后的温柔 提交于 2020-01-02 18:03:14
问题 i'm trying to run Madgwick's sensor fusion algorithm on iOS. Since the code is open source i already included it in my project and call the methods with the provided sensor values. But it seems, that the algorithm expects the sensor measurements in a different coordinate system. The Apple CoreMotion Sensor System is given on the right side, Madgewick's on the left. Here is the picture of the different coordinate systems. Both systems follow the right hand rule. For me it seems like there is a

How to log data from Android Motion Sensors at a fixed rate

由 不羁岁月 提交于 2019-12-30 03:09:43
问题 I'm learning the Basics of Android programming. I have a simple android test application in which i log the accelerometer,magnetometer and the orientation data to an external file while also displaying it. I initiate the logging process on click of a Start button (registerListener for relevant sensors) by calling a method initLogger . Which looks something similar to this... public void initLogger(View view) { boolean bFlag = false; Button btnStart = (Button)findViewById(R.id.btnStartLog);

iOS orientation estimation and heading error

由 落爺英雄遲暮 提交于 2019-12-11 22:02:53
问题 Instead of doing my own sensor fusion, I am using the Quaternions available from iOS and converting them to Euler angles. I walked around in a rectangle shape for few times and I observe that the shape is not as expected. I am plotting the shape by plotting the Yaw values. Please see below. It appears that the heading deviates significantly. I maintained the path while walking. How do I correct the Yaw values so I get correct rectangle shape. 来源： https://stackoverflow.com/questions/30941993

2 sensor readings fusion (Yaw, pitch)

由 房东的猫 提交于 2019-12-11 17:32:53
问题 Currently I am implementing a head tracking solution that takes yaw and pitch from 2 difference sources; a gyro and a magnetic field sensor. I have both the values passed into my program and now I am attempting to determine the best way to keep the precision of the gyro with the lossless nature of a fixed emitter mf sensor. Currently I am using newYaw = currentGyroYaw + 0.05*(difference between) to slowly drag the gyro to anchor to the mf, but it has some fairly constant movement. It has been

Measuring vertical movement of non-fixed Android device

由 会有一股神秘感。 提交于 2019-12-11 13:57:10
问题 My goal is to make an Android mobile app (SDK16+) that measures road quality while riding a bike. I have found a Sensor fusion demo for Android that I assume will do all the measurements for me. How can I get only the vertical movement when the phone is not fixed in a certain orientation? 回答1: The problem The problem here is that you have two systems of coordinates, the dx, dy, dz, of your device and the wX, wY, wZ of the world around you. The relationship between the two changes as you move

Inbuilt sensor calibration functionality in Android

由 亡梦爱人 提交于 2019-12-11 06:32:09
问题 I am working on an application which utilizes accelerometer and magnetometer data and their fused data to function. Now there's an inherent need when it comes to magnetometer to re-calibrate it regularly. The sensor gets uncalibrated due to a phenomena called hard iron effect. My application requires very accurate sensor data (which the hardware is capable of delivering but noise and uncalibrated values create a roadblock). I also know that there are inbuilt calibration functions running in

Comparison: TYPE_ROTATION_VECTOR with Complemenary Filter

由 冷暖自知 提交于 2019-12-11 02:48:35
问题 I have been working on Orientation estimation and I need to estimate correct heading when I am walking in straight line. After facing some roadblocks, I started from basics again. I have implemented a Complementary Filter from here, which uses Gravity vector obtained from Android (not Raw Acceleration), Raw Gyro data and Raw Magnetometer data. I am also applying a low pass filter on Gyro and Magnetometer data and use it as input. The output of the Complementary filter is Euler angles and I am

How can i get device tilt?

由 倾然丶 夕夏残阳落幕 提交于 2019-12-10 11:43:33
问题 I am trying to get device tilt (device rotation along y-axis but unfortunately i am unable to achieve my goal. I have tried a lot of stuff using TYPE_ACCELEROMETER and TYPE_MAGNETIC_FIELD as a combined sensor (Sensor fusion). i have also followed Motion Sensors What i want? i want to get inclination of device (cell phone ) attached in a vehicle. Let say, i attached a device in a car and car is stationary. So inclination is 0 degrees.Lator on, when vehicle pass through under passes or flyovers

Android: Magnetometer data deviates

由 时光怂恿深爱的人放手 提交于 2019-12-08 06:11:39
问题 I am trying to estimate heading from the accelerometer, gyro and magnetometer data. I have implemented A Complementary Filter from here. What I am trying is that I am holding the phone in my hand and I walked 15 steps in a straight line and I am trying to estimate Euler angles as given in the link above. But when I plot the raw data, I observe that the magnetometer data deviates. Here are the images of raw sensor data. My question is: how do I estimate Euler angles so that they indicate I am

Madgwick's sensor fusion algorithm on iOS

由 喜欢而已 提交于 2019-12-06 09:33:00
i'm trying to run Madgwick's sensor fusion algorithm on iOS. Since the code is open source i already included it in my project and call the methods with the provided sensor values. But it seems, that the algorithm expects the sensor measurements in a different coordinate system. The Apple CoreMotion Sensor System is given on the right side, Madgewick's on the left. Here is the picture of the different coordinate systems . Both systems follow the right hand rule. For me it seems like there is a 90 degree rotation around the z axis. But this didn't work. I also tried to flip x and y (and invert
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