1. Developed an autonomous agricultural machinery hardware system featuring a robust vehicle position and attitude sensing system using GPS and IMU-based sensor fusion technology. The system is designed to withstand agricultural environments involving slippage, heavy vibrations, slopes, and low-speed operations. It also includes a steering control algorithm based on an electro-hydraulic valve → Achieves centimeter-level positioning accuracy for autonomous farming operations.

2. Developed a 3D autonomous farming tractor simulator (patented and exhibited at CES 2024) that predicts and analyzes the performance of autonomous farming machinery in a virtual environment to facilitate the development of algorithms for autonomous farming operations. Using this simulator, advanced path generation algorithms and soil slippage prediction-based path-following algorithms were developed, along with a quantitative evaluation of path-following and work performance → Ensures agricultural environmental suitability and practical applicability of the technology.

3. Developed a device and method for controlling automatic turning in headland areas, enabling autonomous agricultural machines (e.g., rice transplanters) to follow planned work paths while considering possible path-following deviations due to signal delays. This development enables more precise automatic turning and efficient farming operations → Contributes to improved farming efficiency.

4. Developed path generation algorithms for autonomous farming operations in various irregular paddy fields (triangular, quadrilateral, pentagonal, etc.), including straight-line driving, automatic headland turning, and circular path navigation for full-field tasks such as plowing and leveling. Additionally, optimized path generation algorithms were developed using A*, genetic algorithms, and other techniques tailored to specific farming tasks → Contributes to labor reduction and productivity improvement (similar work results to manual operations, 36% reduction in work distance, and 5% reduction in fuel consumption).

This product is an autonomous driving hardware designed to convert existing agricultural machinery into autonomous machines without the need to purchase new equipment, enhancing cost efficiency and commercialization. It utilizes a robust set of components (sensors, actuators, etc.) suitable for agricultural environments characterized by high temperatures, humidity, heavy vibrations, dust, and direct sunlight. The system provides precise positioning and posture information while being compatible with various agricultural machines such as tractors and rice transplanters, both domestically and internationally.

The product ensures versatility by distributing software through an Android OS-equipped display controller. It supports not only orthogonal farmlands but also irregularly shaped fields, enabling autonomous farming operations, including straight-line driving, headland turning, and circular path navigation. By autonomously planning and following optimal farming routes, it achieves 100% autonomous driving within fields, reducing labor demands and improving farmers' quality of life.