Ekinox-E Provides orientation, heave, and navigation data

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Inertial Navigation Systems from our company accept inputs from external aiding sensors, such as air data sensors, magnetometers, Odometers, DVL and other.

This integration makes the INS highly versatile and reliable, especially in GNSS-denied environments.

These external sensors enhance the overall performance and accuracy of the INS by providing complementary data.

Combining SBG Systems’ inertial systems with LiDAR for drone mapping enhances accuracy and reliability in capturing precise geospatial data.

Here’s how the integration works and how it benefits drone-based mapping:

• A remote sensing method that uses laser pulses to measure distances to the Earth’s surface, creating a detailed 3D map of the terrain or structures.
• SBG Systems’ INS combines an Inertial Measurement Unit (IMU) with GNSS data to provide accurate positioning, orientation (pitch, roll, yaw), and velocity, even in GNSS-denied environments.

SBG’s inertial system is synchronized with the LiDAR data. The INS accurately tracks the drone’s position and orientation, while the LiDAR captures the terrain or object details below.

By knowing the precise orientation of the drone, the LiDAR data can be accurately positioned in 3D space.

The GNSS component provides global positioning, while the IMU offers real-time orientation and movement data. The combination ensures that even when the GNSS signal is weak or unavailable (e.g., near tall buildings or dense forests), the INS can continue to track the drone’s path and position, allowing for consistent LiDAR mapping.

A self-pointing antenna automatically aligns itself with a satellite or signal source to maintain a stable communication link. It uses sensors like gyroscopes, accelerometers, and GPS to determine its orientation and location.

When the antenna is powered on, it calculates the necessary adjustments to align with the desired satellite. Motors and actuators then move the antenna to the correct position. The system continuously monitors its alignment and makes real-time adjustments to compensate for any movement, such as on a moving vehicle or vessel.

This ensures a reliable connection, even in dynamic environments, without manual intervention.

Controlling output delays in UAV operations is essential for ensuring responsive performance, precise navigation, and effective communication, especially in defense or mission-critical applications.

The output latency is an important aspect in real time control applications, where a higher output latency could degrade control loops performance. Our INS embedded software has been designed to minimize output latency: once sensor data are sampled, the Extended Kalman Filter (EKF) performs small and constant-time computations before the outputs are generated. Typically the observed output delay is less than one millisecond.

The processing latency should be added to the data transmission latency if you want to get total delay. This transmission latency vary from one interface to another. For instance, a 50 bytes message sent on a UART interface at 115200 bps will take 4ms for complete transmission. Consider higher baudrates to minimize output latency.