Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation
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Updated
Dec 28, 2017 - Jupyter Notebook
Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding
Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control
Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
Self-Driving Engineer Car Nanodegree
Udacity Self-Driving Car Engineer Nanodegree. Project: Unscented Kalman Filters
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Lane Finding Project for Self-Driving Car ND
Udacity CarND - Project 04 - Advanced Lane Lines
🏎️ Model Predictive Control (MPC) Project using C++, Eigen, Ipopt and CppAD for the Self-Driving Car Nanodegree at Udacity
Udacity CarND - Project 05 - Vehicle Detection and Tracking
Lane Finding Project for Self-Driving Car ND
This is the yolov3 darknet implementation of fifth project of Udacity term-1 carnd nano-degree program
German traffic signs classifier in TensorFlow
Udacity Self-Driving Car Engineer Nanodegree. Project: Lane line detection with adaptive ROI and lines jitter smoothing
Code to detect the Traffic Light State from the image
Detecting road lane lines in pictures and videos using OpenCV and Python. (Project 1 of Udacity's Self Driving Car Engineer)
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