Jingyang Peng
Papers
2
Total Citations
80
H-Index
2
About
Jingyang Peng is a researcher at the forefront of wearable technology and computer vision, whose work bridges the gap between soft robotics and intelligent sensing. His primary research areas include soft strain sensors for human motion tracking and RAW image-based object detection for autonomous systems. Peng made a significant contribution to wearable devices by developing a textile-based inductive soft strain sensor capable of tracking high-frequency movements, such as those occurring during running. This sensor, which can measure multiaxial hip joint angles, demonstrates exceptional stability and is detailed in his highly cited 2020 paper (52 citations), showcasing its potential for real-time athletic and clinical monitoring. In the domain of computer vision, Peng has advanced the field with his 2023 work on RAW object detection, introducing a new benchmark and model designed to handle high dynamic range (HDR) data. This research is critical for applications like robotics and autonomous driving, where robust performance under challenging lighting conditions is essential. By tackling both the physical sensing and visual perception challenges of dynamic environments, Jingyang Peng is driving innovation in intelligent, body-worn systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Toward RAW Object Detection: A New Benchmark and A New Model28 citations · 2023