Daniel Seichter

According to our database, Daniel Seichter authored at least 18 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Person Perception for Mobile Robotics by Real-Time RGB-D Person Attribute Estimation.

Tim Wengefeld, Daniel Seichter, Benjamin Lewandowski, Horst-Michael Gross

Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

2023

PanopticNDT: Efficient and Robust Panoptic Mapping.

Daniel Seichter, Benedict Stephan, Söhnke Benedikt Fischedick, Steffen Müller, Leonard Rabes, Horst-Michael Gross

IROS, 2023

Efficient Multi-Task Scene Analysis with RGB-D Transformers.

Söhnke Benedikt Fischedick, Daniel Seichter, Robin Schmidt, Leonard Rabes, Horst-Michael Gross

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments.

Daniel Seichter, Söhnke Benedikt Fischedick, Mona Köhler, Horst-Michael Groß

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient and Robust Semantic Mapping for Indoor Environments.

Daniel Seichter, Patrick Langer, Tim Wengefeld, Benjamin Lewandowski, Dominik Höchemer, Horst-Michael Gross

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Real-time person orientation estimation and tracking using colored point clouds.

Tim Wengefeld, Benjamin Lewandowski, Daniel Seichter, Lennard Pfennig, Steffen Müller, Horst-Michael Gross

Robotics Auton. Syst., 2021

Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis.

Daniel Seichter, Mona Köhler, Benjamin Lewandowski, Tim Wengefeld, Horst-Michael Gross

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Revisiting Loss Functions for Person Re-identification.

Dustin Aganian, Markus Eisenbach, Joachim Wagner, Daniel Seichter, Horst-Michael Gross

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Road Surface Segmentation - Pixel-Perfect Distress and Object Detection for Road Assessment.

Ronny Stricker, Dustin Aganian, Maximilian Sesselmann, Daniel Seichter, Marius Engelhardt, Roland Spielhofer, Matthias Hahn, Astrid Hautz, Klaus Debes, Horst-Michael Gross

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Multi-Task Deep Learning for Depth-based Person Perception in Mobile Robotics.

Daniel Seichter, Benjamin Lewandowski, Dominik Höchemer, Tim Wengefeld, Horst-Michael Gross

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Deep orientation: Fast and Robust Upper Body orientation Estimation for Mobile Robotic Applications.

Benjamin Lewandowski, Daniel Seichter, Tim Wengefeld, Lennard Pfennig, Helge Drumm, Horst-Michael Gross

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Cross-Talk Compensation in Low-Cost Resistive Pressure Matrix Sensors.

Steffen Müller, Daniel Seichter, Horst-Michael Gross

Proceedings of the IEEE International Conference on Mechatronics, 2019

Real-time Person Orientation Estimation using Colored Pointclouds.

Tim Wengefeld, Benjamin Lewandowski, Daniel Seichter, Lennard Pfennig, Horst-Michael Gross

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

How to Improve Deep Learning based Pavement Distress Detection while Minimizing Human Effort.

Daniel Seichter, Markus Eisenbach, Ronny Stricker, Horst-Michael Gross

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

How to get pavement distress detection ready for deep learning? A systematic approach.

Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Cooperative multi-scale Convolutional Neural Networks for person detection.

Markus Eisenbach, Daniel Seichter, Tim Wengefeld, Horst-Michael Gross

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

AAC encoding detection and bitrate estimation using a convolutional neural network.

Daniel Seichter, Luca Cuccovillo, Patrick Aichroth

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2004

Reaktives Planen mit gelernten Begriffen.

Daniel Seichter

Künstliche Intell., 2004