Zillur Rahman (zillur-av)

zillur-av

Geek Repo

Company:University of Nevada, Las Vegas

Location:Las Vegas, USA

Home Page:http://sites.google.com/view/zillur

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Zillur Rahman's repositories

LVLane

This repository implements a lane detection and classification model.

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wrong-way-vehicle-detection

Wrong way vehicle detection from traffic footage using yolov5 and centroid tracking algorithm

localization-stack

This repository describes how to fuse two sensors data using Extended Kalman Filter in ROS

tusimple-annotation

This repository provides instructions on how to create a lane detection dataset in tusimple format

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autoware

Autoware - the world's leading open-source software project for autonomous driving

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CalibrationTools

This repository contains tools for base_link to lidar, lidar-camera, and lidar-lidar calibration.

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k-means-algorithm

This is a Python implementation of k-means algorithm including elbow method and silhouette method for selecting optimal K

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LabeledImages2HDF5

Package image files to HDF5 for Deep Learning experimentation.

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lanedet

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

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LDA

This repository includes the implementation of Linear Discriminant Analysis algorithm from scratch.

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liorf

This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.

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logistic-regression-gradient-descent

This project implements the logistic regression algorithm from scratch

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ml-algorithms-from-scratch

This repository contains Python implementation of different machine learning algorithms from scratch.

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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models

Models and examples built with TensorFlow

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neural-networks

This is a python implementation of artificial neural network from scratch.

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novatel_gps_driver

ROS driver for NovAtel GPS / GNSS receivers

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opencv_cam

ROS2 OpenCV camera driver that supports intra-process communication

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Traffic-Sign-Detection

Traffic signs detection and classification in real time

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