drtupe Goto Github PK

advance_lane_detection

This project was done to study camera calibration, lane detection at straight lanes and curved lanes and broaden my knowledge on perception by cameras for autonomous vehicles.

behavioral_cloning

In this project, I have used what I've learned about deep neural networks and convolutional neural networks to clone driving behavior. I have trained, validated and tested a model using Keras. This model then will output a steering angle to an autonomous vehicle.

drtupe

Config files for my GitHub profile.

drtupe.github.io

This is where I host my personal website on github.

extended_kalman_filter

In this project, you will find implementation of estimated state of a moving object of interest with noisy LIDAR and RADAR measurements.

kidnapped-vehicle-project

In this project, I tried to implement a 2-D particle filter in C++. This particle filter will be given a map and some initial localization information similar to what GPS would provide. At each time step this filter will also get observation and control data.

laneline_detection

path_planning

In this project I am going to build a path planner that creates smooth and safe trajectories for the car to follow along a 3 lane highway with traffic.

pid_controller

In this project, I will be working on controlling a vehicle in simulator used for Behavioral Cloning Project to be controlled by a PID controller.

system_integration

This project is the implementation of a self-Driving car systems with ROS to run on CARLA Simulator.

traffic_sign_classifier

This project is about using deep neural networks and convolutional neural network to classify traffic signs.