Lane Detection MMAE

• The purpose of this project is making a robust lane detection/keeping algorithm based on different multiple CV models for lane detection.
• Front and Back Camera data from AirSim simulation environment is used for detecting the lanes.
• Three different models for detecting lanes are used which are based on computer vision and also deep learning.
• Extended Kalman Filter is used for Multiple Model Adaptive Estimation.
• The final output of all the models is the offset between the center of lane and vehicle.
• A PID controller is used for controlling the steering.

References

• https://github.com/OanaGaskey/Advanced-Lane-Detection
• https://automaticaddison.com