Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.
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Updated
Jun 25, 2018 - Jupyter Notebook
Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.
4 Hours for image analysis and some protection for the algo
Robust lane finding in a variety of conditions using computer vision techniques.
This program saves the hassle of normal computation and computes the velocity, speed, unit tangent vector, curvature, normal vector, bi-normal vector, and torsion of a given position vector.
Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Classical computer vision approach, bird’s eye view implementation for lane detection
Udacity Self Driving Engineer Nanodegree - Project 4 - Advanced Lane Finding
Advanced Lane Finding Project
Constrain curvature with strong lenses and complementary probes
My presentation at the 30rd Brazilian Mathematics Colloquium at the National Pure and Applied Mathematics Institute (IMPA)
This is a web application using the pychemcurv module for local curvature analyzes of molecules
This repository is associated with the manuscript: “Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder”
Classification and denosing for noisy meshes.
for measuring curvature along the boundary of an image object
An unofficial version of the PyTorch implementation of CURE and Fast Adversarial training with FGSM.
Higher-order non-submodular pseudo-boolean optimization
Error-correcting neural networks for two-dimensional curvature computation in the level-set method
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
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