Area of research
Computer Vision and Pattern Recognition · Aerospace Engineering
Research interest
Research interests include Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Advanced Vision and Imaging, and Advanced Image and Video Retrieval Techniques.
Photo-SLAM: Real-Time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
Star-Searcher: A Complete and Efficient Aerial System for Autonomous Target Search in Complex Unknown Environments
Robust Control for Bidirectional Thrust Quadrotors under Instantaneously Drastic Disturbances
FAEL: Fast Autonomous Exploration for Large-scale Environments With a Mobile Robot
H$_{2}$-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation
GRACO: A Multimodal Dataset for Ground and Aerial Cooperative Localization and Mapping
Safe Learning-Based Control for Multiple UAVs Under Uncertain Disturbances
RDC-SLAM: A Real-Time Distributed Cooperative SLAM System Based on 3D LiDAR
Automatic delivery and recovery system of Wireless Sensor Networks (WSN) nodes based on UAV for agricultural applications
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning
Decentralized Full Coverage of Unknown Areas by Multiple Robots With Limited Visibility Sensing
Autonomous Vision-Based Aerial Grasping for Rotorcraft Unmanned Aerial Vehicles.
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Recurrent 3D Pose Sequence Machines
An autonomous vision-based target tracking system for rotorcraft unmanned aerial vehicles
Using 3D face priors for depth recovery
Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Autonomous coordinated control of a platoon of vehicles with multiple disturbances