Frederik E. T. Schöller

Assessing Deep-learning Methods for Object Detection at Sea from LWIR Images

Frederik E. T. Schöller, Martin K. Plenge-Feidenhans’l, Jonathan Dyssel Stets et al. · IFAC-PapersOnLine · 2019 · 39 citations · Full text

Vision-based Object Tracking in Marine Environments using Features from Neural Network Detections

Frederik E. T. Schöller, Mogens Blanke, M.K. Plenge-Feidenhans’ et al. · IFAC-PapersOnLine · 2020 · 17 citations · Full text

Engineering, Underwater System, Marine Sensor +21

Trajectory Prediction for Marine Vessels using Historical AIS Heatmaps and Long Short-Term Memory Networks

Frederik E. T. Schöller, Thomas T. Enevoldsen, Jonathan Becktor et al. · IFAC-PapersOnLine · 2021 · 15 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +26

Comparing Spectral Bands for Object Detection at Sea using Convolutional Neural Networks

Jonathan Dyssel Stets, Frederik E. T. Schöller, Martin K. Plenge-Feidenhans’l et al. · Journal of Physics Conference Series · 2019 · 12 citations · Full text

RetinaNet Object Detector Based on Analog-to-Spiking Neural Network Conversion

Joaquin Royo Miquel, Silvia Tolu, Frederik E. T. Schöller et al. · 2021 · 12 citations