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ORCIDJonas le Fevre Sejersen
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- affiliation: Aarhus University, Department of Electrical and Computer Engineering, Denmark
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2020 – today
- 2023
[c6]Abdelhakim Amer, Mohit Mehndiratta, Jonas le Fevre Sejersen, Huy Xuan Pham, Erdal Kayacan:
Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection. ICAR 2023: 431-438- [c5]Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu, Jonas le Fevre Sejersen, Yury Brodskiy, Erdal Kayacan:
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. ICAR 2023: 570-576 - [c4]Olaya Álvarez-Tuñón
, Hemanth Kanner, Luiza Ribeiro Marnet, Huy Xuan Pham, Jonas le Fevre Sejersen, Yury Brodskiy, Erdal Kayacan:
MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection. IROS 2023: 6141-6148 - [c3]Jonas le Fevre Sejersen, Erdal Kayacan:
CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. IROS 2023: 9254-9261 - [i5]Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu, Jonas le Fevre Sejersen, Yury Brodskiy, Erdal Kayacan:
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework. CoRR abs/2310.11927 (2023) - [i4]Abdelhakim Amer, Mohit Mehndiratta, Jonas le Fevre Sejersen, Huy Xuan Pham, Erdal Kayacan:
Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection. CoRR abs/2310.14030 (2023) - 2022
- [j5]Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen, Martim Brandão:
Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers Robotics AI 9 (2022) - [j4]Daniel Tøttrup, Stinus Lykke Skovgaard, Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo:
A Real-Time Method for Time-to-Collision Estimation from Aerial Images. J. Imaging 8(3): 62 (2022) - [j3]Daniel Tøttrup, Stinus Lykke Skovgaard, Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo:
Correction: Tøttrup et al. A Real-Time Method for Time-to-Collision Estimation from Aerial Images. J. Imaging 2022, 8, 62. J. Imaging 8(9): 241 (2022) - 2021
- [j2]Daniel Tøttrup, Stinus Lykke Skovgaard, Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo:
A Fast and Accurate Approach to Multiple-Vehicle Localization and Tracking from Monocular Aerial Images. J. Imaging 7(12): 270 (2021) - [j1]Ilker Bozcan, Jonas Le Fevre, Huy X. Pham, Erdal Kayacan:
GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance. IEEE Robotics Autom. Lett. 6(2): 1638-1645 (2021) - [c2]Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo, Erdal Kayacan:
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. CASE 2021: 1901-1907 - [c1]Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen, Martim Brandão, Erdal Kayacan:
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. IROS 2021: 9064-9070 - [i3]Rui Pimentel de Figueiredo, Jakob Grimm Hansen, Jonas Le Fevre, Martim Brandão, Erdal Kayacan:
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation. CoRR abs/2105.12691 (2021) - [i2]Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo, Erdal Kayacan:
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. CoRR abs/2108.03862 (2021) - [i1]Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen, Martim Brandão, Erdal Kayacan:
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. CoRR abs/2109.01474 (2021)
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