Tello Drone Trajectory Tracking

With this library you can track the trajectory of your tello drone or swarm of drones in real time. In addition, you can easily configure the plotter in the configuration file. In this blog, you can read more about how the trajectory is calculated.

drone-trajectory.mp4

Usage

Install requirements:

pip install -r requirements.txt

Write IP address of you tello in config.py file:

TELLO_IP_ADDRESSES = ["192.168.1.101",]

Write your flight commands in run method of flight_controller.py file:

def run(self):
    self.tellos.parallel(lambda i, tello: tello.takeoff())

    try:
        # Flight commands:
        self.tellos.parallel(lambda i, tello: tello.move_up(30))
        self.tellos.parallel(lambda i, tello: tello.move_right(30))
        self.tellos.parallel(lambda i, tello: tello.move_forward(30))
        self.tellos.parallel(lambda i, tello: tello.move_left(30))
    except Exception as e:
        print(str(e))
    finally:
        self.tellos.parallel(lambda i, tello: tello.land())
        self.tellos.parallel(lambda i, tello: tello.end())
    self.finish = True

Run main.py:

python main.py

Tello Drone Trajectory Tracking

Related tags

Overview

Tello Drone Trajectory Tracking

Usage

Authors

Owner

Kamran Asgarov

A custom DeepStack model for detecting 16 human actions.

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

From a body shape, infer the anatomic skeleton.

OpenMMLab Detection Toolbox and Benchmark

AI Virtual Calculator: This is a simple virtual calculator based on Artificial intelligence.

Python code for loading the Aschaffenburg Pose Dataset.

Code, final versions, and information on the Sparkfun Graphical Datasheets

A simple python stock Predictor

pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

Camera calibration & 3D pose estimation tools for AcinoSet

Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

Json2Xml tool will help you convert from json COCO format to VOC xml format in Object Detection Problem.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations

Framework for abstracting Amiga debuggers and access to AmigaOS libraries and devices.

A Python package for causal inference using Synthetic Controls

generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search