GCS: Radio Receival Live Data Visualization

[DennisY888]

Responsibilities

Radio receival: research and develop live data visualizations from all available sensor data (accelerometer, gyroscope, barometer) on Qt Quick GCS

Definitions of Done

all placeholder data successfully render within UI components

can talk with @Tibo-vagenBird @rzhao23 for details as they implemented radio backend functionalities

[ivan-lyf]

Assumes receives data in raw string format. (Doubles separated with commas)

[ivan-lyf]

Panel_IMU_And_Kalman_Data (8 fields):
x-axis acceleration
y-axis acceleration
z-axis acceleration
roll (gyroscope)
pitch (gyroscope)
yaw (gyroscope)
raw angle (Kalman)
filtered angle (Kalman)

Panel_Baro_And_Telemetry_Data (6 fields):
pressure
altitude
velocity
temperature
signal strength
battery level

[ivan-lyf]

Adding data storage layer SensorDataModel.cpp
Flow of signal

RADIO
↓ (bytes arrive)

SerialBridge::onRxReadyRead()

↓ (extracts line: "1.2,3.4,9.8,...")

SerialBridge::parseIncomingData()

↓ (splits CSV, converts to numbers)

emit imuDataReceived(1.2, 3.4, 9.8, ...) ← SIGNAL 1
↓
↓ (travels through QObject::connect in main.cpp)
↓
SensorDataModel::updateIMU(1.2, 3.4, 9.8, ...) ← SLOT (receives signal)

↓ (stores: m_imuX = 1.2, m_imuY = 3.4, ...)

emit imuDataChanged() ← SIGNAL 2
↓
↓ (QML automatically listening because of Q_PROPERTY)
↓
QML Panel reads: sensorData.imuX
↓
Display updates: "X-AXIS: 1.2"