Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effectiveness and gender-tailoring of suicide prevention interventions for men: a systematic review.

BMC public health·2026
Same author

Characteristics of specific DNA junction motifs inspired by natural RNA motifs.

International journal of biological macromolecules·2026
Same author

Network-Reconfigured Thermoelectric Flexible Sensor for Ultrafast Steady-State Temperature Perception.

ACS nano·2026
Same author

An explainable machine learning model for early pediatric sepsis prediction using cytokine and routine laboratory data.

Pediatric research·2026
Same author

Transitions and determinants of ICU-acquired frailty after critical illness: A multicenter cohort study using a multistate Markov model.

Annals of intensive care·2026
Same author

A Crack-Based One-Dimensional Microspheres Array Enables Thermal-Mechanical Decoupled Dual-Functional Sensing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

A harmonized fast-fashion garment-variant dataset for textile circularity and sustainability assessment.

Data in brief·2026
Same journal

Terahertz reflectivity dataset: Reading text on both sides of the page.

Data in brief·2026
Same journal

High-quality draft genome sequence data of <i>Levilactobacillus brevis</i> 3LB isolated from fermented milk koumiss.

Data in brief·2026
Same journal

Interview dataset: Encouraging the development of industrial symbiosis networks in Slovenia - transition to the circular economy.

Data in brief·2026
Same journal

Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field scale.

Data in brief·2026
Same journal

BACI-VI-Bench: A dataset of variational inequality benchmark instances for multi-agent trade-network equilibrium.

Data in brief·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:05

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

33

UAS competition ROSbag datasets.

Lan Shi1, Younggil Chang2, Kylie Sommer-Kohrt1

  • 1School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA.

Data in Brief
|September 8, 2025
PubMed
Summary
This summary is machine-generated.

This study details an IEEE drone competition advancing autonomous navigation for Unmanned Aerial Vehicles (UAVs). The competition utilized a simulator, providing valuable datasets for developing robust drone autonomy and GPS-denied navigation systems.

Keywords:
Autonomous navigationPath planningRosbagSLAMTarget-tracking

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.2K

Related Experiment Videos

Last Updated: Jan 18, 2026

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:05

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

33
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.2K

Area of Science:

  • Robotics and Autonomous Systems
  • Artificial Intelligence
  • Computer Vision

Background:

  • Unmanned Aerial Vehicles (UAVs) are crucial in robotics for autonomous navigation and target tracking.
  • Developing robust autonomous drone algorithms requires extensive data, simulation, and testing, which are often resource-intensive.

Purpose of the Study:

  • To provide an overview of an IEEE-hosted drone competition focused on advancing UAV autonomy in complex, GPS-denied environments.
  • To introduce a dataset comprising sensor data from simulated drone challenges for research and development.

Main Methods:

  • The competition featured two challenges: Rover Chase (autonomous rover tracking) and Maze Navigation (LiDAR-based navigation and obstacle avoidance).
  • Competitions were conducted in a PX4-Gazebo based simulator to generate realistic sensor data.
  • The dataset includes rosbag-formatted sensor data: LiDAR, Inertial Measurement Unit (IMU), GPS, and telemetry.

Main Results:

  • The competition successfully simulated complex autonomous navigation tasks for UAVs.
  • The generated dataset provides a valuable resource for benchmarking and developing drone autonomy algorithms.
  • The data supports research in perception and GPS-denied navigation for both simulated and real-world applications.

Conclusions:

  • The IEEE drone competition and its associated dataset significantly contribute to advancing UAV autonomy.
  • The findings facilitate reproducible research and the development of more robust autonomous navigation systems for drones.
  • The dataset is instrumental for researchers working on perception, mapping, and control in challenging environments.