Marco Sewtz — accepted AI-conference papers

2023

IndoorMCD: A Benchmark for Low-Cost Multi-Camera SLAM in Indoor Environments

Marco Sewtz, Yunis Fanger, Xiaozhou Luo, Tim Bodenmüller, Rudolph Triebel

RA-L 2023

Navigating mobile robots within home environments is essential for future applications, e.g. in household or within the field of elderly care. Therefore, these systems, equipped with multiple sensors, have to deal with changing environments. This work presents the IndoorMCD dataset that allows for b

Cited by 8 Source ↗Scholar ↗

2020

Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments

Marco Sewtz, Tim Bodenmüller, Rudolph Triebel

IROS 2020poster

Intuitive human robot interfaces like speech or gesture recognition are essential for gaining acceptance for robots in daily life. However, such interaction requires that the robot detects the human's intention to interact, tracks his position and keeps its sensor systems in an optimal configuration…

Cited by 12 Source ↗Scholar ↗