shubhra Goto Github PK

advanced-lane-detection

A software pipeline to identify lane boundaries on a road from the video feed of a front-facing camera on a car: Python, OpenCV

basic-lane-lines

Automatically detect lane lines using Python and OpenCV

bike-rides-prediction

Predict bike sharing rides using a neural network

extended-kalman-filter

Implement the extended Kalman filter using provied simulated lidar and radar measurements detecting a bicycle that travels around a vehicle

face-generation

Use generative adversarial networks to generate new images of faces

facial-keypoint-detection

Using computer vision techniques and deep learning architectures build a facial keypoint (points around the eyes, nose, and mouth on a face) detection system: Youtube Database of Faces, PyTorch

image-captioning

Use the COCO dataset and design a CNN-RNN model for automatically generating image captions: Python, PyTorch

image-classification

Image classification for images in the CIFAR-10 dataset by creating and training a Convolutional Neural Network: Python, TensorFlow

kidnapped-vehicle

Implemented a 2 dimensional particle filter given a map, some initial localization information (analogous to what a GPS would provide) and observation & control data

language-translation

seq2seq translation neural network

learning-opencv-3_examples

model-predictive-control

Implement Model Predictive Control to drive the car around a simulated lake track and calculate CTE

opencv

Open Source Computer Vision Library

pid-controller

Implement a PID controller to maneuver a vehicle around lake track

sdc-path-planning

Goal here is to safely navigate a car around a virtual highway with other traffic that is driving close to speed limit. We have car's localization, sensor fusion data and a sparse map list of waypoints around the highway

sdc-semantic-segmentation

Label the pixels of a road in images using a Fully Convolutional Network (FCN): Kitty Road Dataset, Tensorflow

sdc-semantic-segmetation

slam-landmark-detection-tracking

Using SLAM create a map of the 2D environment from sensor and motion data gathered by a robot: Python

traffic-sign-classifier

A traffic sign classifier trained / tested on the German Traffic Sign Dataset using a CNN: Python, TensorFlow

tv-script-generation

generate a tv script

unscented-kalman-filter

Implemented an unscented Kalman filter using the CTRV motion model using a bicycle simulation data set

vehicle-detection

Detect vehicles in a video