AI Visual Navigation and Localization

Flyward delivers cutting-edge AI-based visual navigation and positioning technology for UAVs, eVTOLs, and aircraft — enabling intelligent flight with enhanced safety, precision, and efficiency.

Product Introduction

This civilian-grade AI visual navigation and localization software integrates multiple advanced modules powered by cutting-edge artificial intelligence and machine vision algorithms. Designed as a “third navigation solution” alongside GNSS and IMU systems, it enables real-time guidance for eVTOL aircraft and UAVs of various types and sizes—even in extreme environments where GNSS and inertial navigation fail and only onboard cameras remain operational.This product delivers the most accurate pure visual real-time navigation and positioning capabilities available in the Asian market. Without requiring any additional aircraft modifications, our software enables reliable visual navigation using only onboard cameras or electro-optical pods, ensuring maximum flight safety and seamless mission execution.

Key Features

Pure Visual Navigation

Autonomous real-time navigation and positioning when GNSS and IMU are unavailable.

Multi-sensor Fusion

Integrates GNSS, IMU, altimeters, and other sensors for more precise multi-source navigation.

Visual Obstacle Avoidance

Real-time detection and avoidance of obstacles in the flight path to ensure flight safety.

Real-time Monitoring

Automatically triggers visual navigation when flight control anomalies occur, ensuring continuous safe flight.

Data Recording

Complete recording of flight and attitude data for verification, analysis, and debugging.

Safety Assurance

Multiple fault detection and emergency measures enhance the robustness of algorithmic software.

Disadvantages of GNSS Global Positioning Navigation

GNSS signals are susceptible to malicious interference from geopolitical factors and electronic warfare, as well as urban environment shielding (such as high-rise buildings), leading to signal loss or instability.

In urban canyons or mountainous areas, GNSS signals reflect off buildings or terrain, causing multipath effects and significant positioning errors.

Changes in the ionosphere and troposphere, especially affected by solar activity and adverse weather, cause GNSS signal propagation delays, reducing positioning accuracy.

Failures, maintenance, or orbital drift of GNSS satellites affect signal stability and reliability, causing receivers to be unable to obtain enough satellite signals for accurate positioning.

Disadvantages of IMU Inertial Navigation

Accelerometers and gyroscopes in IMU drift over time, with errors accumulating over time. This is particularly noticeable during extended use and requires regular calibration to reduce cumulative errors.

IMU is highly sensitive to external environmental changes, especially vibrations, temperature changes, and electromagnetic interference. High-intensity vibrations can damage mechanical parts, while extreme temperatures can cause sensor performance instability or even failure.

Over time, mechanical parts in IMU can wear out and fatigue due to long-term use, leading to a decrease in measurement accuracy.

Product Advantages

Environmental Adaptability

Sensor Compatibility

Modular Design

Strict Airworthiness Certification

Operating System and Processor Compatibility

Customization and Configurability

Computational Resource Optimization

Advanced Feature Expansion

Subsequent upgrade installation of more advanced AI visual functions, including but not limited to

Visual Perception and Obstacle Avoidance

Ground Scene Analysis and Segmentation

AI-Based Threat Detection and Tracking of Aerial Objects

AI-Driven Forecasting of Future Situations

AI-Powered Comprehensive Air Situational Awareness