Project repository for Genetic Algorithm based Target Tracking.
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Updated
Dec 6, 2021 - Jupyter Notebook
Project repository for Genetic Algorithm based Target Tracking.
Controls subteam code for FRC Team 2637, 2019-2020
Auto Scaling Alchemy: Crafting AWS Infrastructure with Terraform and Launch Templates
Official implementation of paper "MCST: An adaptive tracking algorithm for high-speed and highly maneuverable targets based on bidirectional LSTM network"
Integrates target tarcking ,detection and locating methods with Qt Designed UI.
FLICK Aim trainer. Repo for COMS4995 open source development
Bank Marketing Campaign Analysis to highlight the customers profile and targeted campaign success factors
PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains
This is a demo application that ECS target track auto scaling by Request Count per Target with Metric Math under CodeDeploy Blue/Green Deployment.
Update targettracker application
Créer rapidement un filtre Spark en réalité augmentée avec un Target Tracker.
Camera Selection Decisions using Deep Q learning
This project summarizes some core traditional visual algorithms commonly used in all drone competitions during undergraduate studies
One Dimensional Kalman Filter for Target Tracking
Overall, this project provides a flexible framework for implementing computer vision applications with a focus on object detection, tracking, and point scoring. Its versatility and modularity make it suitable for a wide range of use cases across different industries and domains.
A risk-aware multi-agent target tracking framework with sensing and communication danger zones
Kalman Camera allows user to simmulate the data of a moving target in 2D, and to capture real time / real world data by recording the targets movement using camera. It is a sross-platform application built with Qt Framework and it supports Linux, Windows, Android and iOS. It is part of the master thesis project "Target Tracking Using Kalman Filt…
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