Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Gross, Horst Michael"'
Autor:
Sämann, Timo, Groß, Horst-Michael
Ensuring safety in automated driving is a major challenge for the automotive industry. Special attention is paid to artificial intelligence, in particular to Deep Neural Networks (DNNs), which is considered a key technology in the realization of high
Externí odkaz:
http://arxiv.org/abs/2310.14675
Autor:
Seichter, Daniel, Stephan, Benedict, Fischedick, Söhnke Benedikt, Müller, Steffen, Rabes, Leonard, Gross, Horst-Michael
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial. A mobile robot that is supposed to operate autonomously in indoor environments must have precise knowledge about
Externí odkaz:
http://arxiv.org/abs/2309.13635
As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize human actions to assist with assembly tasks and act autonomously. To ach
Externí odkaz:
http://arxiv.org/abs/2307.09238
As the use of collaborative robots (cobots) in industrial manufacturing continues to grow, human action recognition for effective human-robot collaboration becomes increasingly important. This ability is crucial for cobots to act autonomously and ass
Externí odkaz:
http://arxiv.org/abs/2306.05844
Autor:
Fischedick, Söhnke Benedikt, Seichter, Daniel, Schmidt, Robin, Rabes, Leonard, Gross, Horst-Michael
Scene analysis is essential for enabling autonomous systems, such as mobile robots, to operate in real-world environments. However, obtaining a comprehensive understanding of the scene requires solving multiple tasks, such as panoptic segmentation, i
Externí odkaz:
http://arxiv.org/abs/2306.05242
With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant, it must understand human actions during assembly. To effectively tra
Externí odkaz:
http://arxiv.org/abs/2304.08210
Person re-identification plays a key role in applications where a mobile robot needs to track its users over a long period of time, even if they are partially unobserved for some time, in order to follow them or be available on demand. In this contex
Externí odkaz:
http://arxiv.org/abs/2302.14574
Reinforcement Learning (RL) can enable agents to learn complex tasks. However, it is difficult to interpret the knowledge and reuse it across tasks. Inductive biases can address such issues by explicitly providing generic yet useful decomposition tha
Externí odkaz:
http://arxiv.org/abs/2212.05298
Averaging predictions of a deep ensemble of networks is apopular and effective method to improve predictive performance andcalibration in various benchmarks and Kaggle competitions. However, theruntime and training cost of deep ensembles grow linearl
Externí odkaz:
http://arxiv.org/abs/2207.11211
Semantic scene understanding is essential for mobile agents acting in various environments. Although semantic segmentation already provides a lot of information, details about individual objects as well as the general scene are missing but required f
Externí odkaz:
http://arxiv.org/abs/2207.04526