Zobrazeno 1 - 10
of 2 312
pro vyhledávání: '"Bultmann A"'
Autor:
Memmesheimer, Raphael, Nogga, Jan, Pätzold, Bastian, Kruzhkov, Evgenii, Bultmann, Simon, Schreiber, Michael, Bode, Jonas, Karacora, Bertan, Park, Juhui, Savinykh, Alena, Behnke, Sven
We present the approaches and contributions of the winning team NimbRo@Home at the RoboCup@Home 2024 competition in the Open Platform League held in Eindhoven, NL. Further, we describe our hardware setup and give an overview of the results for the ta
Externí odkaz:
http://arxiv.org/abs/2412.14989
The human gait is a complex interplay between the neuronal and the muscular systems, reflecting an individual's neurological and physiological condition. This makes gait analysis a valuable tool for biomechanics and medical experts. Traditional obser
Externí odkaz:
http://arxiv.org/abs/2411.09538
The anticipation of human behavior is a crucial capability for robots to interact with humans safely and efficiently. We employ a smart edge sensor network to provide global observations along with future predictions and goal information to integrate
Externí odkaz:
http://arxiv.org/abs/2410.05015
The memorialization of mass atrocities such as war crimes and genocides facilitates the remembrance of past suffering, honors those who resisted the perpetrators, and helps prevent the distortion of historical facts. Digital technologies have transfo
Externí odkaz:
http://arxiv.org/abs/2305.14358
We present an approach for estimating a mobile robot's pose w.r.t. the allocentric coordinates of a network of static cameras using multi-view RGB images. The images are processed online, locally on smart edge sensors by deep neural networks to detec
Externí odkaz:
http://arxiv.org/abs/2303.03797
Autonomous robots that interact with their environment require a detailed semantic scene model. For this, volumetric semantic maps are frequently used. The scene understanding can further be improved by including object-level information in the map.
Externí odkaz:
http://arxiv.org/abs/2211.11354
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for disaster examination. Here, we propose a UAV system for real-time seman
Externí odkaz:
http://arxiv.org/abs/2210.09739
Autor:
Fabian Gäb, Gabriele Bierbaum, Richard Wirth, Christoph Bultmann, Brianne Palmer, Kathrin Janssen, Sabina Karačić
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Phosphatized fish fossils occur in various locations worldwide. Although these fossils have been intensively studied over the past decades they remain a matter of ongoing research. The mechanism of the permineralization reaction itself remai
Externí odkaz:
https://doaj.org/article/52d90a0bdd764f7da67ca2560a963ff0
Calibration of multi-camera systems, i.e. determining the relative poses between the cameras, is a prerequisite for many tasks in computer vision and robotics. Camera calibration is typically achieved using offline methods that use checkerboard calib
Externí odkaz:
http://arxiv.org/abs/2209.07393
Autor:
Bultmann, Simon, Behnke, Sven
We present a system for 3D semantic scene perception consisting of a network of distributed smart edge sensors. The sensor nodes are based on an embedded CNN inference accelerator and RGB-D and thermal cameras. Efficient vision CNN models for object
Externí odkaz:
http://arxiv.org/abs/2205.01460