ANFIS-based Lane-Keeping Assist System Development
Budget: ₹600 – ₹1,500 INR
I'm looking for an experienced engineer specializing in control systems and fuzzy logic to design an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for a lane-keeping assist system (LKAS) within an Advanced Driver Assistance System (ADAS).
Key requirements include:
- Processing simulated Lidar sensor data transmitted via a Controller Area Network (CAN) bus.
- Generating precise steering commands to keep the vehicle centered in its lane, compensating for lateral errors, heading errors, road curvature, and vehicle speed.
- Designing the system to reliably respond to varied road types and sudden lane changes.
- Prioritizing the minimization of driver workload while ensuring vehicle stability and safety.
The project will be implemented and tested in MATLAB Online using a Simulink environment. Ideal candidates should have a strong background in control systems, fuzzy logic, and experience with MATLAB and Simulink. Please include your relevant experience in your bid.
Key requirements include:
- Processing simulated Lidar sensor data transmitted via a Controller Area Network (CAN) bus.
- Generating precise steering commands to keep the vehicle centered in its lane, compensating for lateral errors, heading errors, road curvature, and vehicle speed.
- Designing the system to reliably respond to varied road types and sudden lane changes.
- Prioritizing the minimization of driver workload while ensuring vehicle stability and safety.
The project will be implemented and tested in MATLAB Online using a Simulink environment. Ideal candidates should have a strong background in control systems, fuzzy logic, and experience with MATLAB and Simulink. Please include your relevant experience in your bid.
Related categories:
Engineering
Electronics
Matlab and Mathematica
Verilog / VHDL
Electrical Engineering