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btknzn/Autonomous-Route-following-system-for-small-degree-routes

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Created over 4 years ago
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btknzn/Autonomous-Route-following-system-for-small-degree-routes

btknzn

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(LQR controller AND KALMAN FİLTER APPLİCATİON) In real world, we have a lot of straight highways. In this highways, we do not need to make an movement to drive. We can just start our cruise control and lock our cars' wheel. Do you think that it is simple?. Actually there is not any highways, which is 100 percent straight. Because of this situation we can not lock our the wheel of our autos and can not go straight.To lock our wheel and watch the route, we can design a controller and our system can follow our routes autonomusly for small degree. For example our system can follow small sinus signal. You can see our system.We assumed that it is unicycle robot. We are going to adjust our robots' angle via controlling angular accelartion

IR-CAMERA-REMOTE-SENSING

Aim of this project to undestanding how many people in one room with Thermal Image Processing. %76 precent Success. Please read PDF to understand your project.

Line-Following-Robot-with-Camere-OpenCV-and-PID-mplementation-and-improvin-PID-value-with-AI-

Aim of this project making one Robotic system which can follow line with Camera and this system is going to train itself to find Best PID Value with Mashine learning for each line kind.

Senior-Project

Amyotrophic Lateral Sclerosis (ALS), also known as motor neuron disease, is a disease that does not impair the mental functions of the patient, but gradually loses muscle control. However, the eyelids of the patient do not lose their function for a long time. For this reason, blink communication is a recommended solution for ALS patients. What is desired within the scope of the project is coding around 10 words as blink, resolving the blink message using signal processing techniques and writing on the Raspberry Pi Screen.

Uno-Card-Game-

Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET

Maze-Solving-A-star-search-algorithm

Breath-First-Search-Maze-Solving

Trainable-Object-detection-System-

Trainable Object Detection system ( part for line following robot with camera)

DC-Motor-Matematical-modeling-in-Matlab-and-applying-P-PI-PID-controller-and-sisotool-grapg-librry

Low-damped-vibration-System

Low damped vibration System

Belt-system-with-stepper-Motor-controlled-by-Potentiometer

convolutional-neural-network-

20Hz-1MHZ-5-stage-500-gain-Amplifier-Analog-Circuit-Design.

20Hz-1MHZ 5 stage 500 gain Amplifier Analog Circuit Design.

Laser-Speckle-Center-Detecotor

Aim of code is detecting center part of laser speckles.

Depth-First-Search-Maze-Solving

Change-Detection-Algorithm

This project detects environmental changes using satellite images

DTMF---Decoder

Dual tone multi frequency Decoder

TiagoRobotSkillLearning

Tiago Robot Skill learning and hardcode manipulation based on MOVEIT/MOVEBASE/PCL.

Jupyter Notebook

Eye-Blink-detection-and-communication-via-haar-cascade-opencv

The aim of this project detecting blinking number using haar-face-detection and also haar-eye-detection and then countin the blink number and offering user their desired food

LQR-REGULATOR-OF-SPEC-F-C-SYSTEM-AND-SYSTEM-MODEL-NG

In this cod, it is modeled one spesific system and also applied Kalman filter and also designed LQR in Simulink and Matlab

BIHR

NLP

Pytorch- Pytorch Lightning-

Jupyter Notebook

NeoPenaltyShot

Neo robot using reinforcement learning(RL_DT algorithm) algorithm.

SemanticSegmentationTransformers

MLX90640-camera-moduled-Teensy-3.2-between-Matlab-Serial-communication

Ros

Matplotlib

Jupyter Notebook

ManusHandUnrealEngine

DecisionTree

Jupyter Notebook

ROSLEARN

CARLAAUTONOMOUSCAR

btknzn.github.io

CMAC-Neural-Network

Trainning Cmac neural network using it some actions.

Neural-Netwrok-Study-documents

Neural Netwrok Study documents

MoleculeNet-OutPerforming-Default-Results

Jupyter Notebook

BIHR_Nao

Biologically Inspired Learning for Humanoid Robotics

Seaborn

Jupyter Notebook

Optimizing-Hyper-Parameters-Neural-networks

Jupyter Notebook

SVM

Jupyter Notebook

Convolutional-Neural-Networks

Jupyter Notebook

Deep-Learnin-Hyperparameter-tuning-Regularization-and-Optimization.

Overfitting-and-Regularization

Jupyter Notebook

VAEs

Jupyter Notebook

Dynamic-Q-learning

Jupyter Notebook

Minutiatrydetection

LineFollowingRobotWithPID_Python

LİNE FOLLOWİNG ROBOT WİTH PID CONTROLLER

Jupyter Notebook

Neuralnetworkondataset

CudaProgramming

This code is a basic Cuda programming example

MicroprocesslabrotoryExamTrainning

STM32F4 programming trainning in Assembly and C

DC-Motor_speed_control_with_potansiyometre_T-NKERCAD

DC Motor_speed_control_with_potansiyometre_TİNKERCAD

Resnet50TransferLearning

Tranfer Learning Tranning using google cloud services

Stepper

Stepper motor open loop control. Enter the number of cycle.

CarlaObjectCordinateDecetion

This code detects pedesterians and vehicle in carla simulation enviroment and save their location as objectparam.txt

PandaBasic

Jupyter Notebook

CarlaFullAutonomCAR

KNN

Jupyter Notebook

Classification-With-Neural-networks

Jupyter Notebook

PythonCrashCourse

Jupyter Notebook

SpesificAngleTurningStepperMotor

RelayRacingCode

Flag Carrying Race with Robots

Maze-Solving-Greedy-Best-First

Recurrent-Neural-Networks

Jupyter Notebook

Convolutional-Autoencoder

Numpybasic

Jupyter Notebook

-Closed-loop-motion-control-in-DC-Motor-encoder-Controller-with-PID-Controller

Closed-loop motion control in DC Motor (encoder Controller) with PID Controller

proje

NaturalLanguageProcessing

Jupyter Notebook

Exercise1

Pinballcodes

Pinball maschine which works with 14 sensor and one LCD

SemanticSegmentation

For more information, please read the project report

Senior-Project-2020-Spring

Eye blinking communication for ALS patient

Pyrep-RLBENCH-Coppeliasim-

Pyrep rlbench coppeliasim imitation learning

Senior-Project-2019-Spring

Abstract: The main goal of this project is to create four robotic systems that can carry a flag in hurdle area. There are certain criterias supposed to follow are falling flag, collision with obstacle and each robot should find other robots. We are planning to achieve one centred system. This main system consists of one microcontroller, one camera and four robotics devices Each robot will find right direction for carrying the flag to the target robot. Additionally, the basic working principle of this system is to detect robots and obstacles at a certain height with a camera located out of the platform and to establish routes from color selection. With the routes calculated, we will establish a map for carrying the flag to another robot. The technical process of the Project is mainly based on the Image Processing, Embedded Systems, Robotics, artificial Intelligence and Control Systems.