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Albert K's Projects

carnd-capstone icon carnd-capstone

Integrated solution of a self-driving car system built with ROS – Using waypoint navigation and traffic light classification – Tested on simulator and test track at Palo Alto, California.

carnd-extended-kalman-filter icon carnd-extended-kalman-filter

Implemented an Extended Kalman Filter (EKF) to track position and velocity of a moving object on basis of LIDAR and RADAR measurements

carnd-kidnapped-vehicle icon carnd-kidnapped-vehicle

Created a 2 dimensional Particle Filter to localize a vehicle's position and yaw, given a map, initial GPS estimate plus noisy sensor and control data

carnd-model-predictive-control icon carnd-model-predictive-control

Implemented an advanced process control method (MPC) to optimize actuation inputs for a self-driving car's simulation, involving application of Kinematic model and cost function tuning

carnd-path-planning icon carnd-path-planning

Designed an algorithm to generate trajectories for a simulated self-driving car, autonomously maneuvering through dense highway traffic by making decisions based on a simple finite-state machine

carnd-pid-controller icon carnd-pid-controller

Set up a PID controller which computes the steering angle of a simulated vehicle in order to keep it on track, given CTE and velocity

carnd-unscented-kalman-filter icon carnd-unscented-kalman-filter

Improved non-linear equation handling for object tracking using an Unscented Kalman Filter (UKF) for LIDAR and RADAR measurements

carnd-vehicle-detection icon carnd-vehicle-detection

Trained a linear classifier (SVM) for real-time vehicle detection and tracking and combined results with previous project lane finding

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