Martin Scheiber

Orcid: 0000-0002-3415-7378

According to our database1, Martin Scheiber authored at least 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The INSANE dataset: Large number of sensors for challenging UAV flights in Mars analog, outdoor, and out-/indoor transition scenarios.
Int. J. Robotics Res., 2024

AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry.
CoRR, 2024

An Equivariant Approach to Robust State Estimation for the ArduPilot Autopilot System.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Radar-Inertial Odometry for Closed-Loop Control of Resource-Constrained Aerial Platforms.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2023

Revisiting Multi-GNSS Navigation for UAVs - An Equivariant Filtering Approach.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022
CNS Flight Stack for Reproducible, Customizable, and Fully Autonomous Applications.
IEEE Robotics Autom. Lett., 2022

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators.
CoRR, 2022

2021
Filter-Based Online System-Parameter Estimation for Multicopter UAVs.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Mid-Air Range-Visual-Inertial Estimator Initialization for Micro Air Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

VINSEval: Evaluation Framework for Unified Testing of Consistency and Robustness of Visual-Inertial Navigation System Algorithms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019
Visual-Inertial On-Board Throw-and-Go Initialization for Micro Air Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2016
Pflanzenschutz-Anwendungs-Manager (PAM): Automatisierte Berücksichtigung von Abstandsauflagen. Praktische Vorführung und Feldtestergebnisse.
Proceedings of the Informatik in der Land-, Forst- und Ernährungswirtschaft, Fokus: Intelligente Systeme, 2016

2015
Vereinfachung des Pflanzenschutzprozesses durch Datenintegration und Automation - Das Projekt PAM.
Proceedings of the Informatik in der Land-, 2015


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