Zobrazeno 1 - 10
of 2 089
pro vyhledávání: '"Göhring P"'
Autor:
Quentin, Philipp, Goehring, Daniel
For the use of 6D pose estimation in robotic applications, reliable poses are of utmost importance to ensure a safe, reliable and predictable operational performance. Despite these requirements, state-of-the-art 6D pose estimators often do not provid
Externí odkaz:
http://arxiv.org/abs/2409.03556
Robustness against Out-of-Distribution (OoD) samples is a key performance indicator of a trajectory prediction model. However, the development and ranking of state-of-the-art (SotA) models are driven by their In-Distribution (ID) performance on indiv
Externí odkaz:
http://arxiv.org/abs/2407.13431
Many active systems are capable of forming intriguing patterns at scales significantly larger than the size of their individual constituents. We recently introduced a model for gliding filamentous cyanobacteria, which form a reticulate pattern as an
Externí odkaz:
http://arxiv.org/abs/2406.06314
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 420-426, Jan. 2024
The precise point cloud ground segmentation is a crucial prerequisite of virtually all perception tasks for LiDAR sensors in autonomous vehicles. Especially the clustering and extraction of objects from a point cloud usually relies on an accurate rem
Externí odkaz:
http://arxiv.org/abs/2405.15664
In complex traffic environments, autonomous vehicles face multi-modal uncertainty about other agents' future behavior. To address this, recent advancements in learningbased motion predictors output multi-modal predictions. We present our novel framew
Externí odkaz:
http://arxiv.org/abs/2405.03470
Model Predictive Control lacks the ability to escape local minima in nonconvex problems. Furthermore, in fast-changing, uncertain environments, the conventional warmstart, using the optimal trajectory from the last timestep, often falls short of prov
Externí odkaz:
http://arxiv.org/abs/2310.02918
Despite the advances in robotics a large proportion of the of parts handling tasks in the automotive industry's internal logistics are not automated but still performed by humans. A key component to competitively automate these processes is a 6D pose
Externí odkaz:
http://arxiv.org/abs/2309.14265
We propose a Holistic Return on Ethics (HROE) framework for understanding the return on organizational investments in artificial intelligence (AI) ethics efforts. This framework is useful for organizations that wish to quantify the return for their i
Externí odkaz:
http://arxiv.org/abs/2309.13057
Autor:
Voigtländer, Anne, Houssais, Morgane, Bacik, Karol A., Bourg, Ian C., Burton, Justin C., Daniels, Karen E., Datta, Sujit S., Del Gado, Emanuela, Deshpande, Nakul S., Devauchelle, Olivier, Ferdowsi, Behrooz, Glade, Rachel, Goehring, Lucas, Hewitt, Ian J., Jerolmack, Douglas, Juanes, Ruben, Kudrolli, Arshad, Lai, Ching-Yao, Li, Wei, Masteller, Claire, Nissanka, Kavinda, Rubin, Allan M., Stone, Howard A., Suckale, Jenny, Vriend, Nathalie M., Wettlaufer, John S., Yang, Judy Q.
Inspired by presentations by the authors during a workshop organized at the Princeton Center for Theoretical Science (PCTS) in January 2022, we present a perspective on some of the outstanding questions related to the "physics of the ground beneath o
Externí odkaz:
http://arxiv.org/abs/2308.00162
Sign language translation systems are complex and require many components. As a result, it is very hard to compare methods across publications. We present an open-source implementation of a text-to-gloss-to-pose-to-video pipeline approach, demonstrat
Externí odkaz:
http://arxiv.org/abs/2305.17714