Ellipse-D The most accurate & compact dual-Antenna RTK INS

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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.

Jamming and spoofing are two types of interference that can significantly affect the reliability and accuracy of satellite-based navigation systems like GNSS.

Jamming refers to the intentional disruption of satellite signals by broadcasting interfering signals on the same frequencies used by GNSS systems. This interference can overwhelm or drown out the legitimate satellite signals, rendering GNSS receivers unable to process the information accurately. Jamming is commonly used in military operations to disrupt the navigation capabilities of adversaries, and it can also affect civilian systems, leading to navigation failures and operational challenges.

Spoofing, on the other hand, involves the transmission of counterfeit signals that mimic genuine GNSS signals. These deceptive signals can mislead GNSS receivers into calculating incorrect positions or times. Spoofing can be used to misdirect or misinform navigation systems, potentially causing vehicles or aircraft to veer off course or providing false location data. Unlike jamming, which merely obstructs signal reception, spoofing actively deceives the receiver by presenting false information as legitimate.

Both jamming and spoofing pose significant threats to the integrity of GNSS-dependent systems, necessitating advanced countermeasures and resilient navigation technologies to ensure reliable operation in contested or challenging environments.

An Indoor Positioning System (IPS) is a specialized technology that accurately identifies the locations of objects or individuals within enclosed spaces, such as buildings, where GNSS signals may be weak or non-existent. IPS employs various techniques to deliver precise positioning information in settings like shopping malls, airports, hospitals, and warehouses.

IPS can leverage several technologies for location determination, including:

• Wi-Fi: Utilizes signal strength and triangulation from multiple access points for position estimation.
• Bluetooth Low Energy (BLE): Employs beacons that send signals to nearby devices for tracking.
• Ultrasound: Uses sound waves for accurate location detection, often with mobile device sensors.
• RFID (Radio-Frequency Identification): Involves tags placed on items for real-time tracking.
• Inertial Measurement Units (IMUs): These sensors monitor motion and orientation, enhancing positional accuracy when combined with other methods.

A detailed digital map of the indoor space is essential for accurate positioning, while mobile devices or specialized equipment collect signals from the positioning infrastructure.

IPS enhances navigation, tracks assets, assists emergency services, analyzes retail behavior, and integrates into smart building systems, significantly improving operational efficiency where traditional GNSS fails.

An odometer is an instrument used to measure the distance traveled by a vehicle. It provides important information about how far a vehicle has gone, which is useful for various purposes such as maintenance scheduling, fuel efficiency calculations, and resale value assessment.

Odometers measure distance based on the number of rotations of the vehicle’s wheels. A calibration factor, based on the tire size, converts wheel rotations into distance.

In many navigation applications, especially in vehicles, odometer data can be integrated with INS data to improve overall accuracy. This process, known as sensor fusion, combines the strengths of both systems.