Fcn For Semantic SegmentationImplemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Stars: ✭ 155 (+416.67%)
Mutual labels: fcn, vgg16, semantic-segmentation
highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
Stars: ✭ 39 (+30%)
Mutual labels: udacity, self-driving-car
Model-Predictive-ControlC++ implementation of Model Predictive Control(MPC)
Stars: ✭ 51 (+70%)
Mutual labels: udacity, self-driving-car
Self-Driving-Car-Steering-SimulatorThe aim of this project is to allow a self driving car to steer autonomously in a virtual environment.
Stars: ✭ 15 (-50%)
Mutual labels: udacity, self-driving-car
behavioral cloningNo description or website provided.
Stars: ✭ 26 (-13.33%)
Mutual labels: self-driving-car, vgg16
fusion-ekfAn extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Stars: ✭ 113 (+276.67%)
Mutual labels: udacity, self-driving-car
UselfdrivingsimulatorSelf-Driving Car Simulator
Stars: ✭ 48 (+60%)
Mutual labels: udacity, self-driving-car
self-driving-car-ndUdacity's Self-Driving Car Nanodegree project files and notes.
Stars: ✭ 50 (+66.67%)
Mutual labels: udacity, self-driving-car
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-30%)
Mutual labels: udacity, vgg16
Lyft-Perception-ChallengeThe 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
Stars: ✭ 69 (+130%)
Mutual labels: self-driving-car, semantic-segmentation
Advanced Lane DetectionAn advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Stars: ✭ 71 (+136.67%)
Mutual labels: udacity, self-driving-car
CAP augmentationCut and paste augmentation for object detection and instance segmentation
Stars: ✭ 93 (+210%)
Mutual labels: self-driving-car, semantic-segmentation
Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Stars: ✭ 202 (+573.33%)
Mutual labels: self-driving-car, semantic-segmentation
FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 211 (+603.33%)
Mutual labels: fcn, semantic-segmentation
mpcA software pipeline using the Model Predictive Control method to drive a car around a virtual track.
Stars: ✭ 119 (+296.67%)
Mutual labels: udacity, self-driving-car
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (+236.67%)
Mutual labels: fcn, semantic-segmentation
Pytorch Fcn Easiest DemoPyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Stars: ✭ 138 (+360%)
Mutual labels: fcn, semantic-segmentation
SAComputerVisionMachineLearningComputer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program
Stars: ✭ 36 (+20%)
Mutual labels: udacity, semantic-segmentation
Vehicle DetectionVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Stars: ✭ 1,093 (+3543.33%)
Mutual labels: udacity, self-driving-car