Haoyang Wang
Papers
3
Total Citations
7
H-Index
2
About
Haoyang Wang is a rising researcher at the forefront of event-based vision and embodied intelligence, pioneering solutions for high-speed, low-latency perception in dynamic environments. His work centers on fusing event cameras with depth sensors to overcome the limitations of traditional frame-based systems, enabling precise 3D localization and tracking of high-speed objects—a critical capability for agile robotics and autonomous drones. His paper "EventTracker" (2024, 3 citations) introduces a novel fusion approach that achieves robust tracking in challenging conditions, while "Event Camera Meets Mobile Embodied Perception" (2025, 2 citations) provides a comprehensive framework spanning abstraction, algorithm, and hardware acceleration for real-world deployment. Beyond perception, Wang addresses large-scale coordination challenges with "FireHunter" (2024, 2 citations), a multi-UAV scheduling system for proactive wildfire suppression that balances monitoring and intervention in unpredictable environments. Though early in his career, Wang’s work demonstrates significant impact by bridging fundamental sensor fusion with pressing societal applications, from disaster response to autonomous navigation. His research trajectory promises to shape the next generation of high-speed, event-driven robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3