An autonomous vehicle built on a Raspberry Pi 4 (considering a switch to Raspberry Pi Zero) with a versatile tech stack to achieve self-driving functionalities. This project aims to capture and process real-time images with OpenCV and utilize FPGA as a cloud-based accelerator, integrating a RISC-V core and AI Vector Accelerator (AVA) for enhanced machine learning performance, especially for LLM tasks.
- Capture real-time images for navigation using OpenCV.
- Develop a cloud-computing FPGA setup to offload intensive tasks.
- Implement a RISC-V core and AVA core for optimized AI processing, aiming to enhance LLM efficiency.
- Hardware: Raspberry Pi 4 (or Raspberry Pi Zero), FPGA
- Operating System: Embedded Linux (Yocto Project), ROS2
- Programming Languages: Bash, C++, Python, C, Verilog
- Software: OpenCV for image processing