Wenliang Gao

Hong Kong University of Science and Technology

Papers

Total Citations

345

H-Index

About

Wenliang Gao is a leading researcher in autonomous aerial robotics, with a focus on visual-inertial navigation and omnidirectional perception for micro aerial vehicles (MAVs). His work addresses critical challenges in enabling safe, agile flight in complex, confined environments. Gao’s most influential contribution is his 2017 paper on autonomous aerial navigation using monocular visual-inertial fusion, which has amassed 240 citations and established foundational methods for lightweight, cost-effective MAV autonomy. He further advanced dynamic object tracking with a 2019 study on 3-D motion tracking from monocular visual-inertial sensing (65 citations), a key technology for robotics and augmented reality. Notably, his 2020 work on an autonomous aerial robot using dual-fisheye cameras (40 citations) introduced a novel, low-cost omnidirectional perception system, dramatically improving safety and environmental awareness for aerial platforms. By pioneering efficient sensor fusion and wide-field-of-view solutions, Gao has significantly enhanced the practicality of MAVs for applications like search and rescue, surveillance, and inspection. His research continues to push the boundaries of what small, agile drones can achieve in real-world, obstacle-rich environments.