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Andi Damar's Projects

agronav icon agronav

Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection

aslan icon aslan

Open source self-driving software for low speed environments

cpr_gazebo icon cpr_gazebo

Additional indoor and outdoor simulation environments for Clearpath robots.

dirt icon dirt

Digital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.

easy-ins icon easy-ins

simple INS using a GPS (GNSS) receiver and IMU

evo icon evo

Python package for the evaluation of odometry and SLAM

far_planner icon far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

football_analysis icon football_analysis

This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos

gazebo-classic icon gazebo-classic

Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim

geonav_transform icon geonav_transform

Simple transforms for using GPS-based estimates for local odometry in ROS

greenhouse icon greenhouse

Greenhouse Monitoring with Raspberry Pi and Prometheus

headland_trajectory_planning icon headland_trajectory_planning

This repo is includes headland space modeling and trajectory planning for autonomous agricultural vehicle in the orchard.

husky icon husky

Common packages for the Clearpath Husky

ifra_conveyorbelt icon ifra_conveyorbelt

This repository provides a simple ROS2 Gazebo plugin that simulates the behaviour of a Conveyor Belt in a Gazebo environment.

ircnn icon ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

joy2twist icon joy2twist

Controlling a mobile robot using a Ucom gamepad

linorobot icon linorobot

Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)

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