We are engaged in several research projects in the area of AI, computer vision, computer architecture and chip design:
AORTA
AI-based traffic perception and digital twins for emergency response
Within AORTA, we developed an intelligent traffic infrastructure platform for automated emergency corridor formation using AI and real-time environmental perception.
The system combines edge AI cameras, digital twins, infrastructure sensors for cooperative traffic management to improve safety and reduce emergency response times.
Project description: AORTA Research Project – DC Vision Systems GmbH
VASCO
AI assistance system for visually impaired people
VASCO develops wearable AI-based perception systems combining 3D environment reconstruction, object recognition and multimodal feedback for mobility assistance.
Link to the project description VASCO
Technologies
- Embedded AI
- Visual SLAM
- 3D reconstruction
- Wearable computing
- Real-time perception
DI-OWAS
Open hardware AI SoC platform
OWAS focuses on open and modular hardware architectures for embedded AI and camera-based perception systems.
The project investigates heterogeneous SoC architectures combining FPGA acceleration, AI processing and embedded vision pipelines.
Project page: DI-OWAS — Elektronikforschung
Technologies
- FPGA acceleration
- Embedded AI
- Open hardware
- Vision SoCs
- ISP pipelines
COMPUTE4VISION
Heterogeneous RISC-V accelerator architecture
COMPUTE4VISION investigates massively parallel RISC-V based accelerator architectures for computer vision and spatial AI workloads.
The architecture combines GPU-style execution models with FPGA acceleration for real-time perception and reconstruction tasks.
Technologies
- RISC-V
- GPGPU architectures
- eFPGA acceleration
- AI acceleration
- Computer vision