Erdal Kayacan

Erdal Kayacan

Aarhus Universitet

H-index: 43

Europe-Denmark

About Erdal Kayacan

Erdal Kayacan, With an exceptional h-index of 43 and a recent h-index of 34 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Robotics, control, artificial intelligence, unmanned systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots

Predictiveslam-robust visual slam through trajectory-aware object masking

Mimir-uw: A multipurpose synthetic dataset for underwater navigation and inspection

Vessel inspection in-the-wild: Practical planning in large-scale industrial environments

Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines

Loss it right: Euclidean and riemannian metrics in learning-based visual odometry

Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection

ORB-Net: End-to-end Planning Using Feature-based Imitation Learning for Autonomous Drone Racing

Erdal Kayacan Information

University

Position

Associate Professor at

Citations(all)

6781

Citations(since 2020)

4165

Cited By

4297

hIndex(all)

43

hIndex(since 2020)

34

i10Index(all)

110

i10Index(since 2020)

92

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Erdal Kayacan Skills & Research Interests

Robotics

control

artificial intelligence

unmanned systems

Top articles of Erdal Kayacan

Title

Journal

Author(s)

Publication Date

CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots

Jonas le Fevre Sejersen

Erdal Kayacan

2023/10/1

Predictiveslam-robust visual slam through trajectory-aware object masking

Micha Heiß

Jakob Grimm Hansen

Dengyun Li

Michał Kozłowski

Erdal Kayacan

2023/6/6

Mimir-uw: A multipurpose synthetic dataset for underwater navigation and inspection

Olaya Álvarez-Tuñón

Hemanth Kanner

Luiza Ribeiro Marnet

Huy Xuan Pham

Jonas le Fevre Sejersen

...

2023/10/1

Vessel inspection in-the-wild: Practical planning in large-scale industrial environments

Jakob Grimm Hansen

Micha Heiß

Dengyun Li

Michał Kozłowski

Erdal Kayacan

2023/5/31

Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines

Olaya Álvarez-Tuñón

Yury Brodskiy

Erdal Kayacan

2023/9/29

Loss it right: Euclidean and riemannian metrics in learning-based visual odometry

Olaya Alvarez-Tunon

Yury Brodskiy

Erdal Kayacan

2023/9/26

Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection

Abdelhakim Amer

Mohit Mehndiratta

Jonas le Fevre Sejersen

Huy Xuan Pham

Erdal Kayacan

2023/12/5

ORB-Net: End-to-end Planning Using Feature-based Imitation Learning for Autonomous Drone Racing

Huy Xuan Pham

Micha Heiss

Dung Tran

Minh Anh Nguyen

Anh Quang Nguyen

...

2023/9/26

UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework

Abdelhakim Amer

Olaya Álvarez-Tuñón

Halil İbrahim Uğurlu

Jonas Le Fevre Sejersen

Yury Brodskiy

...

2023/12/5

Guidance of Agricultural Ground Robots Team with an Aerial Vehicle: A Cost-Effective Solution

Halil Ibrahim Ugurlu

Deniz Bardakci

Huy Xuan Pham

Erdal Kayacan

2023/9/26

Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism

Mechatronics

Nursultan Imanberdiyev

Sumil Sood

Dogan Kircali

Erdal Kayacan

2022/4/1

Pencilnet: Zero-shot sim-to-real transfer learning for robust gate perception in autonomous drone racing

IEEE Robotics and Automation Letters

Huy Xuan Pham

Andriy Sarabakha

Mykola Odnoshyvkin

Erdal Kayacan

2022/9/19

Uav trajectory evaluation in large industrial environments: A cost-effective solution

Jakob Grimm Hansen

Micha Heiß

Michal Kozlowski

Erdal Kayacan

2022/7/12

Deep learning for vision-based navigation in autonomous drone racing

Huy Xuan Pham

Halil Ibrahim Ugurlu

Jonas Le Fevre

Deniz Bardakci

Erdal Kayacan

2022/1/1

Event-based navigation for autonomous drone racing with sparse gated recurrent network

Kristoffer Fogh Andersen

Huy Xuan Pham

Halil Ibrahim Ugurlu

Erdal Kayacan

2022/7/12

Robotics, Computer Vision and Intelligent Systems: First International Conference, ROBOVIS 2020, Virtual Event, November 4-6, 2020, and Second International Conference, ROBOVIS …

Péter Galambos

Erdal Kayacan

Kurosh Madani

2022/11/9

Score-based anomaly detection for smart manufacturing systems

IEEE/ASME Transactions on Mechatronics

Ilker Bozcan

Clemens Korndorfer

Mathias W Madsen

Erdal Kayacan

2022/6/6

Opendr: An open toolkit for enabling high performance, low footprint deep learning for robotics

Nikolaos Passalis

Stefania Pedrazzi

Robert Babuska

Wolfram Burgard

Daniel Dias

...

2022/10/23

ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint

Journal of the Franklin Institute

Zhijie Liu

Jinyuan Liang

Shuang Zhang

Erdal Kayacan

2022/4/1

Sim-to-real deep reinforcement learning for safe end-to-end planning of aerial robots

Robotics

Halil Ibrahim Ugurlu

Xuan Huy Pham

Erdal Kayacan

2022/10/13

See List of Professors in Erdal Kayacan University(Aarhus Universitet)

Co-Authors

H-index: 76
Dennis S. Bernstein

Dennis S. Bernstein

University of Michigan-Dearborn

H-index: 58
I-Ming Chen

I-Ming Chen

Nanyang Technological University

H-index: 48
Sebastian Scherer

Sebastian Scherer

Carnegie Mellon University

H-index: 48
Behçet Açıkmeşe

Behçet Açıkmeşe

University of Washington

H-index: 40
Angela Schoellig

Angela Schoellig

University of Toronto

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