Android AR方向 [英] Android AR orientation
问题描述
我正在制作一个程序，用于在相机上显示地图上的对象，这几乎可以很好地工作，除了从垂直方向向左和向右倾斜几个角度(例如在80-110和260-280度).在其他+ -320度下，效果很好.我尝试将TYPE_ROTATION_VECTOR和加速度计与磁力计一起使用，它们的结果相同.有人知道任何解决方案吗?
使用TYPE_ROTATION_VECTOR:
if (event.sensor.getType() == Sensor.TYPE_ROTATION_VECTOR)
{
float[] roationV = new float[16];
SensorManager.getRotationMatrixFromVector(roationV, event.values);
float[] orientationValuesV = new float[3];
SensorManager.getOrientation(roationV, orientationValuesV);
tvHeading.setText(String.format(
"Coordinates: lat = %1$.2f, lon = %2$.2f, time = %3$.2f",
orientationValuesV[0], orientationValuesV[1], orientationValuesV[2]));
float[] rotationMatrix=new float[16];
mSensorManager.getRotationMatrixFromVector(rotationMatrix, event.values);
float[] orientationValues = new float[3];
SensorManager.getOrientation(rotationMatrix, orientationValues);
double azimuth = Math.toDegrees(orientationValues[0]);
double pitch = Math.toDegrees(orientationValues[1]);
double roll = Math.toDegrees(orientationValues[2]);
tvOrientation.setText(String.format(
"Coordinates: lat = %1$.2f, lon = %2$.2f, time = %3$.2f",
azimuth,pitch,roll));
}
带加速度计+磁力计
if (event.sensor == mAccelerometer) {
System.arraycopy(event.values, 0, mLastAccelerometer, 0, event.values.length);
mLastAccelerometer = meanFilterAccelSmoothing
.addSamples(mLastAccelerometer);
mLastAccelerometer = medianFilterAccelSmoothing
.addSamples(mLastAccelerometer);
for (int i = 0; i < mLastAccelerometer.length; i++) {
mLastAccelerometer[i] = (float) Math.floor(mLastAccelerometer[i] * 1000) / 1000;
}
mLastAccelerometerSet = true;
}
if (event.sensor == mMagnetometer) {
System.arraycopy(event.values, 0, mLastMagnetometer, 0, event.values.length);
mLastMagnetometer = meanFilterMagneticSmoothing.addSamples(mLastMagnetometer);
mLastMagnetometer = medianFilterMagneticSmoothing.addSamples(mLastMagnetometer);
for (int i = 0; i < mLastMagnetometer.length; i++) {
mLastMagnetometer[i] = (float) Math.floor(mLastMagnetometer[i] * 1000) / 1000;
}
mLastMagnetometerSet = true;
}
if (mLastAccelerometerSet && mLastMagnetometerSet) {
SensorManager.getRotationMatrix(mR, null, mLastAccelerometer, mLastMagnetometer);
SensorManager.getOrientation(mR, mOrientation);
if (angeles.size() > 0) {
for (int i = 0; i < mapObjects.size(); i++) {
compassFunc(i, mOrientation[0], mOrientation[1], mOrientation[2]);
}
}
private void compassFunc(int number, float... values) {
double angularXSpeed = Math.floor(values[0] * 180 / Math.PI * 100) / 100;
double angularYSpeed = Math.floor(values[1] * 180 / Math.PI * 100) / 100;
double angularZSpeed = Math.floor(values[2] * 180 / Math.PI * 100) / 100;
tvOrientation.setText(String.format(
"Screen: lt= %1$.2f : %2$.2f,rt= %3$.2f : %4$.2f,lb= %5$.2f : %6$.2f,rb= %7$.2f : %8$.2f",
xLeftTop, yLeftTop, xRightTop,yRightTop,xLeftBottom,yLeftBottom,xRightBottom,yRightBottom));
}
这听起来像是基本问题，具有欧拉角(偏航角/方位角，俯仰角，滚动)，这就是为什么大多数这样的计算都是使用旋转矩阵或四元数完成的原因，而欧拉角通常仅在要向人类显示特定方向时才使用(人类通常不善于解释旋转矩阵和四元数). /p>
ROTATION_VECTOR传感器以四元数格式(源)，尽管它具有重新排列的值，并且getRotationMatrixFromVector()方法将其转换为旋转矩阵.我建议您使用这些描述之一进行内部计算.
答案问题就如何解决该问题提供了一些具体建议.
I'm making program for showing objects from map on camera and this works almost well except few degrees to left and right from vertical orientation (like in 80-110 and 260-280 degrees). In other +-320 degrees it works well. I've tried to use TYPE_ROTATION_VECTOR and accelerometer with magnetometer and they have the same result. Does anybody know any solution?
with TYPE_ROTATION_VECTOR:
if (event.sensor.getType() == Sensor.TYPE_ROTATION_VECTOR)
{
float[] roationV = new float[16];
SensorManager.getRotationMatrixFromVector(roationV, event.values);
float[] orientationValuesV = new float[3];
SensorManager.getOrientation(roationV, orientationValuesV);
tvHeading.setText(String.format(
"Coordinates: lat = %1$.2f, lon = %2$.2f, time = %3$.2f",
orientationValuesV[0], orientationValuesV[1], orientationValuesV[2]));
float[] rotationMatrix=new float[16];
mSensorManager.getRotationMatrixFromVector(rotationMatrix, event.values);
float[] orientationValues = new float[3];
SensorManager.getOrientation(rotationMatrix, orientationValues);
double azimuth = Math.toDegrees(orientationValues[0]);
double pitch = Math.toDegrees(orientationValues[1]);
double roll = Math.toDegrees(orientationValues[2]);
tvOrientation.setText(String.format(
"Coordinates: lat = %1$.2f, lon = %2$.2f, time = %3$.2f",
azimuth,pitch,roll));
}
with accelerometer+magnetometer
if (event.sensor == mAccelerometer) {
System.arraycopy(event.values, 0, mLastAccelerometer, 0, event.values.length);
mLastAccelerometer = meanFilterAccelSmoothing
.addSamples(mLastAccelerometer);
mLastAccelerometer = medianFilterAccelSmoothing
.addSamples(mLastAccelerometer);
for (int i = 0; i < mLastAccelerometer.length; i++) {
mLastAccelerometer[i] = (float) Math.floor(mLastAccelerometer[i] * 1000) / 1000;
}
mLastAccelerometerSet = true;
}
if (event.sensor == mMagnetometer) {
System.arraycopy(event.values, 0, mLastMagnetometer, 0, event.values.length);
mLastMagnetometer = meanFilterMagneticSmoothing.addSamples(mLastMagnetometer);
mLastMagnetometer = medianFilterMagneticSmoothing.addSamples(mLastMagnetometer);
for (int i = 0; i < mLastMagnetometer.length; i++) {
mLastMagnetometer[i] = (float) Math.floor(mLastMagnetometer[i] * 1000) / 1000;
}
mLastMagnetometerSet = true;
}
if (mLastAccelerometerSet && mLastMagnetometerSet) {
SensorManager.getRotationMatrix(mR, null, mLastAccelerometer, mLastMagnetometer);
SensorManager.getOrientation(mR, mOrientation);
if (angeles.size() > 0) {
for (int i = 0; i < mapObjects.size(); i++) {
compassFunc(i, mOrientation[0], mOrientation[1], mOrientation[2]);
}
}
private void compassFunc(int number, float... values) {
double angularXSpeed = Math.floor(values[0] * 180 / Math.PI * 100) / 100;
double angularYSpeed = Math.floor(values[1] * 180 / Math.PI * 100) / 100;
double angularZSpeed = Math.floor(values[2] * 180 / Math.PI * 100) / 100;
tvOrientation.setText(String.format(
"Screen: lt= %1$.2f : %2$.2f,rt= %3$.2f : %4$.2f,lb= %5$.2f : %6$.2f,rb= %7$.2f : %8$.2f",
xLeftTop, yLeftTop, xRightTop,yRightTop,xLeftBottom,yLeftBottom,xRightBottom,yRightBottom));
}
This sounds like a typical case of Gimbal Lock. Your description of how rotation around one axis acts up when another reaches +-90 degrees suggests that this is indeed the case.
This is a fundamental problem with Euler angles (Yaw/Azimuth, Pitch, Roll), which is why most such computations are done using rotation matrices or quaternions, and Euler angles most often only are used when a particular orientation is to be displayed to a human (humans are generally bad at interpreting rotation matrices and quaternions).
The ROTATION_VECTOR sensor outputs it's data in a quaternion format (source), albeit with rearranged values, and the getRotationMatrixFromVector() method turns this into a rotation matrix. I would suggest using one of these descriptions for your internal calculations.
The answers to this similar question provide some concrete suggestions on how to solve the issue.
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