Autonomous Driving Vehicle
Machine Learning
Mentors :
Kartik Gokhale
Sarthak Mittal
Mentees :
6
"This project is expected to be part of a larger project with multiple sub-goals.
The autonomous driving vehicle will have many sub-components involving the creation of the environment (terrains, roads, traffic etc.), development of the agent (car), training of the agent (this will be split into further modules such as identification of objects using ML and CV, tracking the path using CV and RL, avoiding obstacles, controlling movement such as speed and steering).
You will get to experience hands-on development in various fields like machine learning, image processing, reinforcement learning and various applications involving a mixture of these."
Prerequisites:
Enthusiasm to work towards a larger project
Tentative Timeline :
| Week | Work |
|---|---|
| Week 1 | Brush up on Python Skills, Github and others |
| Week 2 | Begin with Reinforcement Learning Basics or Computer Vision. |
| Week 3 | Encode the driving environment and the agent of the car |
| Week 4-5 | Continue developing the environment, training the agent and proceed to add features encoding more detail. |
| Week 6-7 | Evaluate performance and complete the simulation. |
| Week 8 | Explore various options to go ahead including multi-agent RL or 3-dimensional rendering and implementing advanced visual sensors. |
