38 citations · 39 across the 6 of their papers we have counts for
6 papers
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…
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…
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
Linh Kästner, Teham Bhuiyan, Tuan Anh Le +9
The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performan…