Shanq-Jang Ruan
Papers
4
Total Citations
55
H-Index
4
About
Shanq-Jang Ruan is a leading researcher in computer vision and autonomous driving systems, with a focus on 3D object detection and stereo matching. His most impactful work addresses the critical challenge of monocular 3D object detection—a low-cost, essential task for autonomous vehicles and robotics. In his 2021 paper on "An edge-aware based adaptive multi-feature set extraction for stereo matching of binocular images" (23 citations), Ruan advanced depth perception by developing a novel feature extraction method that improves stereo matching accuracy. His 2021 work on "3D Object Detection Based on Proposal Generation Network Utilizing Monocular Images" (16 citations) pioneered a cost-effective approach to 3D detection using only a single camera, serving as a crucial auxiliary module for autonomous systems. More recently, his 2023 study on "Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution" (10 citations) further refined detection robustness and efficiency, directly contributing to safer autonomous driving systems. Ruan has also explored human-machine interaction through his work on efficient hand gesture recognition systems. With a growing citation impact, his research continues to shape the future of autonomous navigation and computer vision applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4