commonMain.com.divpundir.mavlink.definitions.common.GlobalVisionPositionEstimate.kt Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of definitions Show documentation
Show all versions of definitions Show documentation
A modern MAVLink library for the JVM written in Kotlin.
The newest version!
package com.divpundir.mavlink.definitions.common
import com.divpundir.mavlink.api.GeneratedMavField
import com.divpundir.mavlink.api.GeneratedMavMessage
import com.divpundir.mavlink.api.MavMessage
import com.divpundir.mavlink.serialization.MavDataDecoder
import com.divpundir.mavlink.serialization.MavDataEncoder
import com.divpundir.mavlink.serialization.encodeFloat
import com.divpundir.mavlink.serialization.encodeFloatArray
import com.divpundir.mavlink.serialization.encodeUInt64
import com.divpundir.mavlink.serialization.encodeUInt8
import com.divpundir.mavlink.serialization.safeDecodeFloat
import com.divpundir.mavlink.serialization.safeDecodeFloatArray
import com.divpundir.mavlink.serialization.safeDecodeUInt64
import com.divpundir.mavlink.serialization.safeDecodeUInt8
import com.divpundir.mavlink.serialization.truncateZeros
import kotlin.Byte
import kotlin.ByteArray
import kotlin.Float
import kotlin.Int
import kotlin.UByte
import kotlin.UInt
import kotlin.ULong
import kotlin.Unit
import kotlin.collections.List
/**
* Global position/attitude estimate from a vision source.
*
* @param usec Timestamp (UNIX time or since system boot)
* units = us
* @param x Global X position
* units = m
* @param y Global Y position
* units = m
* @param z Global Z position
* units = m
* @param roll Roll angle
* units = rad
* @param pitch Pitch angle
* units = rad
* @param yaw Yaw angle
* units = rad
* @param covariance Row-major representation of pose 6x6 cross-covariance matrix upper right
* triangle (states: x_global, y_global, z_global, roll, pitch, yaw; first six entries are the first
* ROW, next five entries are the second ROW, etc.). If unknown, assign NaN value to first element in
* the array.
* @param resetCounter Estimate reset counter. This should be incremented when the estimate resets
* in any of the dimensions (position, velocity, attitude, angular speed). This is designed to be used
* when e.g an external SLAM system detects a loop-closure and the estimate jumps.
*/
@GeneratedMavMessage(
id = 101u,
crcExtra = 102,
)
public data class GlobalVisionPositionEstimate(
/**
* Timestamp (UNIX time or since system boot)
* units = us
*/
@GeneratedMavField(type = "uint64_t")
public val usec: ULong = 0uL,
/**
* Global X position
* units = m
*/
@GeneratedMavField(type = "float")
public val x: Float = 0F,
/**
* Global Y position
* units = m
*/
@GeneratedMavField(type = "float")
public val y: Float = 0F,
/**
* Global Z position
* units = m
*/
@GeneratedMavField(type = "float")
public val z: Float = 0F,
/**
* Roll angle
* units = rad
*/
@GeneratedMavField(type = "float")
public val roll: Float = 0F,
/**
* Pitch angle
* units = rad
*/
@GeneratedMavField(type = "float")
public val pitch: Float = 0F,
/**
* Yaw angle
* units = rad
*/
@GeneratedMavField(type = "float")
public val yaw: Float = 0F,
/**
* Row-major representation of pose 6x6 cross-covariance matrix upper right triangle (states:
* x_global, y_global, z_global, roll, pitch, yaw; first six entries are the first ROW, next five
* entries are the second ROW, etc.). If unknown, assign NaN value to first element in the array.
*/
@GeneratedMavField(
type = "float[21]",
extension = true,
)
public val covariance: List = emptyList(),
/**
* Estimate reset counter. This should be incremented when the estimate resets in any of the
* dimensions (position, velocity, attitude, angular speed). This is designed to be used when e.g an
* external SLAM system detects a loop-closure and the estimate jumps.
*/
@GeneratedMavField(
type = "uint8_t",
extension = true,
)
public val resetCounter: UByte = 0u,
) : MavMessage {
override val instanceCompanion: MavMessage.MavCompanion = Companion
override fun serializeV1(): ByteArray {
val encoder = MavDataEncoder(SIZE_V1)
encoder.encodeUInt64(usec)
encoder.encodeFloat(x)
encoder.encodeFloat(y)
encoder.encodeFloat(z)
encoder.encodeFloat(roll)
encoder.encodeFloat(pitch)
encoder.encodeFloat(yaw)
return encoder.bytes
}
override fun serializeV2(): ByteArray {
val encoder = MavDataEncoder(SIZE_V2)
encoder.encodeUInt64(usec)
encoder.encodeFloat(x)
encoder.encodeFloat(y)
encoder.encodeFloat(z)
encoder.encodeFloat(roll)
encoder.encodeFloat(pitch)
encoder.encodeFloat(yaw)
encoder.encodeFloatArray(covariance, 84)
encoder.encodeUInt8(resetCounter)
return encoder.bytes.truncateZeros()
}
public companion object : MavMessage.MavCompanion {
private const val SIZE_V1: Int = 32
private const val SIZE_V2: Int = 117
override val id: UInt = 101u
override val crcExtra: Byte = 102
override fun deserialize(bytes: ByteArray): GlobalVisionPositionEstimate {
val decoder = MavDataDecoder(bytes)
val usec = decoder.safeDecodeUInt64()
val x = decoder.safeDecodeFloat()
val y = decoder.safeDecodeFloat()
val z = decoder.safeDecodeFloat()
val roll = decoder.safeDecodeFloat()
val pitch = decoder.safeDecodeFloat()
val yaw = decoder.safeDecodeFloat()
val covariance = decoder.safeDecodeFloatArray(84)
val resetCounter = decoder.safeDecodeUInt8()
return GlobalVisionPositionEstimate(
usec = usec,
x = x,
y = y,
z = z,
roll = roll,
pitch = pitch,
yaw = yaw,
covariance = covariance,
resetCounter = resetCounter,
)
}
public operator fun invoke(builderAction: Builder.() -> Unit): GlobalVisionPositionEstimate =
Builder().apply(builderAction).build()
}
public class Builder {
public var usec: ULong = 0uL
public var x: Float = 0F
public var y: Float = 0F
public var z: Float = 0F
public var roll: Float = 0F
public var pitch: Float = 0F
public var yaw: Float = 0F
public var covariance: List = emptyList()
public var resetCounter: UByte = 0u
public fun build(): GlobalVisionPositionEstimate = GlobalVisionPositionEstimate(
usec = usec,
x = x,
y = y,
z = z,
roll = roll,
pitch = pitch,
yaw = yaw,
covariance = covariance,
resetCounter = resetCounter,
)
}
}