maxritter / SDC-End-to-end-driving
This simulation of a car uses steering angle predictions from a convolutional neural network, this is also called end-to-end learning. It is able to drive fully autonomously on the whole track with only one round of training data. The project was part of the Self-Driving Car Engineer program.
☆21Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for SDC-End-to-end-driving
- Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.☆50Updated 7 years ago
- Keras/Tensorflow Implementation of `End-to-End Learning for self-driving car (Nvidia)`. Spatial factorization is additionally implemented…☆22Updated 7 years ago
- Using OpenCV to detect Lane lines on Roads☆77Updated 7 years ago
- Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.☆68Updated 6 years ago
- Self-driving car in a simulator controlled by a tiny neural network☆26Updated 7 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆40Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding☆53Updated 7 years ago
- A Python program for lane line detection and tracking using a traditional computer vision approach☆44Updated 6 years ago
- Finding lane lines on a video using computer vision☆30Updated 2 years ago
- Vehicle Detection + Advanced Lane Finding for ADAS☆35Updated 6 years ago
- Self Driving Car Vehicle Detection☆70Updated 7 years ago
- Projects from Udacity Self Driving Car Nanodegree☆51Updated 7 years ago
- Lane detection and tracking☆118Updated 3 weeks ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆49Updated 7 years ago
- Udacity Self Driving Car Nanodegree - Advance Lane Line Finder on a Video Stream☆25Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 6 years ago
- End-to-End learning to train a simulated car keep on the track without crash☆59Updated 7 years ago
- An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn model https://arxiv…☆31Updated 6 years ago
- ☆43Updated 7 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆77Updated 4 years ago
- Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics…☆79Updated 7 years ago
- This project is my implementation of NVIDIA's PilotNet End to End deep CNN (built with Keras) to clone the behavior of a self driving c…☆9Updated 5 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆86Updated 6 years ago
- A End to End CNN Model which predicts the steering wheel angle based on the video/image☆141Updated 6 years ago
- Computer Vision for autonomous lane detection (and motor control)☆38Updated 8 years ago
- Keras implementation of End to End Learning for Self-Driving Cars by Nvidia.☆15Updated 7 years ago
- Behavioral cloning: end-to-end learning for self-driving cars.☆106Updated 4 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Semantic Segmentation (Advanced Deep Learning) Project.☆34Updated 7 years ago
- Udacity's Self-Driving Car Nanodegree project files and notes.☆49Updated 7 years ago