PID and Model Predictive Control
C++ implementation of a PID controller and a MPC controller for Udacity’s Self-Driving Car Simulator.
C++ implementation of a PID controller and a MPC controller for Udacity’s Self-Driving Car Simulator.
C++ implementation of a particle filter in a simulator.
Using an Unscented Kalman Filter to fuse radar and lidar data for object tracking.
Using an Extended Kalman Filter to fuse radar and lidar data for object tracking.
Trajectory generation for a self-driving car w/ lane change capabilities.
C++ implementation of a PID controller and a MPC controller for Udacity’s Self-Driving Car Simulator.
Learning steering angle controls from camera data.
YOLOv2 model from the paper implemented from scratch in tensorflow.
Learning steering angle controls from camera data.
C++ implementation of a particle filter in a simulator.
YOLOv2 model from the paper implemented from scratch in tensorflow.
Lane detection from a highway drive video.
Cats vs. dogs Kaggle competition
Lane detection from a highway drive video.
Learning steering angle controls from camera data.
YOLOv2 model from the paper implemented from scratch in tensorflow.
Using an Unscented Kalman Filter to fuse radar and lidar data for object tracking.
Using an Extended Kalman Filter to fuse radar and lidar data for object tracking.
Cats vs. dogs Kaggle competition
Cats vs. dogs Kaggle competition
Prepare SFTP connection with key-based authentication
Differences to Java and common pitfalls.
Snippets with examples for common operations
Examples on how to work with iterators
How to use std::vector efficiently
Prepare SFTP connection with key-based authentication