Area of research
Electrical and Electronic Engineering · Aerospace Engineering
Research interest
Research interests include Odometry, Inertial measurement unit, Computer vision, Artificial intelligence, Computer science, and Lidar.
An ensemble deep learning method for predicting cadmium content in eggs using hyperspectral imaging
Unlocking precision: Advancing rapid field molecular identification of Tuta absoluta across its life cycle using locked nucleic acid strategies
Real-Time Localization and Colorful Three-Dimensional Mapping of Orchards Based on Multi-Sensor Fusion Using Extended Kalman Filter
Real-Time Localization and Mapping Utilizing Multi-Sensor Fusion and Visual–IMU–Wheel Odometry for Agricultural Robots in Unstructured, Dynamic and GPS-Denied Greenhouse Environments