38 citations · 81 across the 17 of their papers we have counts for
7 papers · 1 filter
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles
Thomas Michalke, Yassin Kaddar, Thomas Nürnberg +2
The detection of previously unseen, unexpected obstacles on the road is a major challenge for automated driving systems. Different from the detection of ordinary objects with pre-d…
HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation
Zhengcheng Shen, Yi Gao, Linh Kästner +1
The advancement of computer vision and machine learning has made datasets a crucial element for further research and applications. However, the creation and development of robots w…
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems
Linh Kästner, Marvin Meusel, Teham Bhuiyan +1
In recent years, Deep Reinforcement Learning emerged as a promising approach for autonomous navigation of ground vehicles and has been utilized in various areas of navigation such…
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches
Linh Kästner, Reyk Carstens, Christopher Liebig +4
In recent years, mobile robot navigation approaches have become increasingly important due to various application areas ranging from healthcare to warehouse logistics. In particula…
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments
Linh Kästner, Reyk Carstens, Huajian Zeng +5
Following up on our previous works, in this paper, we present Arena-Rosnav 2.0 an extension to our previous works Arena-Bench and Arena-Rosnav, which adds a variety of additional m…
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Teham Bhuiyan, Linh Kästner, Yifan Hu +2
Industrial robots are widely used in various manufacturing environments due to their efficiency in doing repetitive tasks such as assembly or welding. A common problem for these ap…
Evaluating Digital Work Instructions with Augmented Reality versus Paper-based Documents for Manual, Object-Specific Repair Tasks in a Case Study with Experienced Workers
Leon Eversberg, Jens Lambrecht
Manual repair tasks in the industry of maintenance, repair, and overhaul require experience and object-specific information. Today, many of these repair tasks are still performed a…