Autonomous Driving Simulation System

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

  • Tech Stack: Python (TensorFlow, PyTorch), OpenCV, ROS (Robot Operating System), Unity3D, Kubernetes, GCP (Cloud AI Platform, Compute Engine)
  • Objective: Develop an AI-powered system for autonomous driving in a simulated environment. The project will involve object detection, lane detection, and control systems for autonomous vehicles using reinforcement learning and deep learning models.
  • Skills Needed: Computer vision (OpenCV), reinforcement learning, real-time control systems, cloud-based training and deployment, simulation with Unity3D and ROS.

Student Ratings & Reviews

No Review Yet
No Review Yet