Udacity Self Driving Car Nanodegree (2018 Ford-sponsored cohort)

In this term, I applied computer vision and deep learning techniques on automotive problems by teaching the car to detect lane lines, predict steering angles, etc. based on camera data. Projects in Python, TensorFlow, and C++

• Lane finding
• Advanced Lane Finding
• Traffic Sign Classifier
• Behavioral Cloning
• Extended Kalman Filters

In this term, I used camera, radar, lidar, and GPS sensor data to localize and control the vehicle. Next, I applied path planning to get the vehicle to a specified location. Projects in Python, C++.

• Kidnapped Vehicle
• Highway Driving
• PID Controller
• System Integration