Autonomous Car Control System Optimization
Budget: $30 – $250 CAD
I'm seeking assistance with my project that involves controlling an autonomous car using a developed Matlab and Simulink model. The project is nearing completion, but I need help checking results, debugging errors, and enhancing execution speed. The final phase involves using deep learning to refine the car's trajectory.
Key Responsibilities:
- Review the accuracy of the control system
- Execute codes and enhance deep learning results
- Optimize and speed up the process
Deep Learning Focus:
The primary focus will be on the preparation of training data for deep learning. You will be working with labeled sensor data to fine-tune the model and improve performance.
Ideal Skills and Experience:
- Proficient in Matlab and Simulink
- Experience with deep learning applications
- Strong debugging and problem-solving skills in matlab
- Ability to improve execution speed and performance
- familiar with control algorithms like pid , MPC , Stanely, purepersuit , ...etc
Key Responsibilities:
- Review the accuracy of the control system
- Execute codes and enhance deep learning results
- Optimize and speed up the process
Deep Learning Focus:
The primary focus will be on the preparation of training data for deep learning. You will be working with labeled sensor data to fine-tune the model and improve performance.
Ideal Skills and Experience:
- Proficient in Matlab and Simulink
- Experience with deep learning applications
- Strong debugging and problem-solving skills in matlab
- Ability to improve execution speed and performance
- familiar with control algorithms like pid , MPC , Stanely, purepersuit , ...etc