Live Demonstration: DVS-CIS Sensor Fusion System for Real-Time DNN-Based Object Detection
This demonstration presents a high-speed, energy-efficient sensor fusion system integrating CMOS Image Sensors (CIS) and Dynamic Vision Sensors (DVS) for advanced image recognition. Using CIS for high-res imaging and DVS for rapid event-driven capture, the FPGA-implemented architecture with an NPU running YOLOv3-Tiny achieves 18 ms inference latency with a minimal 2.78% mAP loss. Selective NPU activation based on DVS-detected regions yielded 31.5% power savings, while a custom receiver module efficiently fused DVS (13,900 fps) and CIS (60 fps) data. The system uses a power of 6.977 W on a Xilinx Zynq+ ZCU106 board.
Authors
- Xuan Truong Nguyen (ORCID: https://orcid.org/0000-0002-7527-6971)
- Hyuk‐Jae Lee (ORCID: https://orcid.org/0000-0001-6811-9647)
- Bobaro Chang
- Mincheol Cha
- Soosung Kim (ORCID: https://orcid.org/0009-0002-4430-7752)
- Tae‐Ho Lee (ORCID: https://orcid.org/0000-0003-3644-3666)
- Tae Sung Kim (ORCID: https://orcid.org/0000-0003-3086-0055)
- Hyunsurk Ryu
- Keehyuk Lee
Institutions
- Seoul National University (KR)
- Sun Moon University (KR)
Publication Details
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1109/iscas56072.2025.11043578
- Citations
- 1
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- Ministry of SMEs and Startups
- Technology Development