Oguz Alp Saglam (oguzalp7)

oguzalp7

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Company:AIR Research Lab

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Oguz Alp Saglam's repositories

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PythonRobotics

Python sample codes for robotics algorithms.

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ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

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SelfDrivingCar

A collection of all projects pertaining to different layers in the SDC software stack

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ALPR

Fusion of 3 Papers For Turkish License Plate Recognition Task

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cs-video-courses

List of Computer Science courses with video lectures.

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efatura

eArĹźiv ĂĽzerinden Fatura OluĹźturucu

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fatura

eArĹźiv / eFatura Fatura OluĹźturucu

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Kivy-Android-Face-Detection

Image Processing Purposes

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PathPlanning

Common used path planning algorithms with animations.

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RapidOCR

A cross platform OCR Library based on PaddleOCR & OnnxRuntime & OpenVINO.

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react-tutorials

Github & React Practice

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realsense_bot

This is a ROS package for Intel realsense D435i with 3-DOF Manipulator robot that can be used for Indoor Mapping and localization of objects in the world frame with an added advantage of the robot's dexterity. The 3-DOF Manipulator is a self-built custom robot where the URDF with the depth sensor is included. The package covers the Rosserial communication with Arduino nodes or I2C with the Jetson Nano to control the robot's Joint States and PCL pipelines required for autonomous mapping/Localization/Tracking of the objects in real-time.

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tempo-iot

an IoT Edge device equipped with ESP32, DHT22, and Ethernet W5500

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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