Discover @UjjwalSaxena Open Source projects

Ujjwal Saxena (@UjjwalSaxena)

UjjwalSaxena

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608
Global Rank 47,634 (Top 2 %)
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Registered over 6 years ago
Most used languages

Jupyter Notebook
66.7 %

Python
16.7 %

C++
16.7 %
Location 🇮🇳 India
Country Total Rank 1,229
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Jupyter Notebook
62

Automold--Road-Augmentation-Library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

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CarND-Advanced-Lane-Lines-Detection-T1P4

This is the advanced lane detection project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast etc. I used Image warping and sliding window approach to find and plot the lanes. This makes it better with the lane curves.

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road-glare-removal-tests

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Semantic-Segmentation-T3P2

Semantic segmentation uses transposed convolutions in the decoder part to segment the images in classes. This projects implements a FCN8 architecture to detect the roads in the image.

Vehicle-Detection-T1P5

This project used machine learning to train a classifier to classify cars in video and then draw bounding boxes around them. I used sliding window technique, and heat map to bind the car images in rectangles.

Jupyter Notebook

Path-Planning-Project-T3P1

Prediction, behaviour planning and trajectory