Integrated Navigation and Its Applications in Autonomous Agricultural Machinery
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 159
Special Issue Editors
Interests: satellite positioning and inertial base combined navigation; autonomous operation collaborative control of agricultural machinery; agricultural machinery operation control and embedded system
Interests: satellite navigation and inertial base integrated navigation; online monitoring of agricultural machinery equipment operation status; intelligent control and embedded system for agricultural machinery equipment operation process
Special Issue Information
Dear Colleagues,
This Special Issue focuses on Integrated Navigation and Its Applications in Autonomous Agricultural Machinery, aiming to highlight the latest advancements, methodologies, and applications in this domain. Central to these advancements is a multi-sensor fusion approach that harnesses the complementary strengths of GNSS (specifically RTK) for centimeter-level absolute positioning accuracy; MEMS-IMU for stable motion sensing in dynamic environments; visual navigation for rich environmental perception and feature matching; and radar for robust detection under adverse weather or lighting conditions. Thereby, this integrated solution effectively addresses critical challenges including continuous positioning error accumulation in unstructured terrains, instantaneous interference from dynamic obstacles, attitude solution drift during complex maneuvers, and localization failures in feature-deprived environments.
We invite contributions exploring algorithm optimization (e.g., adaptive Kalman filtering, deep learning-based error correction), hardware-software co-design, and real-world validation in autonomous tractors, harvesters, and drones. Topics of interest include high-precision localization and attitude estimation, dynamic obstacle avoidance and path tracking, and multi-source sensor fusion for unstructured agricultural environments. Through research articles, reviews, and case studies, this Special Issue aims to provide a platform for specialized research on the application of integrated navigation in autonomous driving of agricultural machinery and equipment.
Dr. Bingbo Cui
Dr. Yongyun Zhu
Dr. Zhen Ma
Guest Editors
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Keywords
- integrated navigation
- agricultural vehicle autonomy
- high-precision localization
- dynamic obstacle avoidance
- multi-source sensor fusion
- unstructured agricultural environments
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