DorGetter/Autonomus-Car-CS-Final-Project
This repository, "Autonomous Driving System On Various Platforms", details the exploration and implementation of autonomous driving systems across platforms such as AirSim, Android, Raspberry Pi 4, and Nvidia's Jetson Nano, utilizing Lidar, image processing, and machine learning technologies.
This project explores how to build and implement autonomous driving systems across various hardware platforms. It takes sensor inputs like camera feeds or Lidar data and processes them to enable functions such as lane keeping, obstacle avoidance, and decision-making for a vehicle. This work is ideal for researchers, engineers, or hobbyists experimenting with embedded systems for self-driving applications.
No commits in the last 6 months.
Use this if you are developing or experimenting with self-driving car logic and need to understand the challenges and approaches for deployment on different embedded platforms like Raspberry Pi or Jetson Nano.
Not ideal if you are looking for a ready-to-use, high-performance autonomous driving solution for commercial deployment without further development.
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Java
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Last pushed
Aug 16, 2021
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