Zobrazeno 1 - 10
of 1 657
pro vyhledávání: '"Goehring, P."'
LiDAR Semantic Segmentation is a fundamental task in autonomous driving perception consisting of associating each LiDAR point to a semantic label. Fully-supervised models have widely tackled this task, but they require labels for each scan, which eit
Externí odkaz:
http://arxiv.org/abs/2411.02969
Autor:
Emerse, Megha, Goehring, Lucas
Thin films or sheets subjected to external forces often undergo mechanical instability, leading to regular patterns of wrinkles, folds, and creases. As can be anticipated from the difficulty of flattening a curved globe, any natural curvature of the
Externí odkaz:
http://arxiv.org/abs/2411.01616
Simultaneous Localization and Mapping (SLAM) is a key component of autonomous systems operating in environments that require a consistent map for reliable localization. SLAM has been a widely studied topic for decades with most of the solutions being
Externí odkaz:
http://arxiv.org/abs/2410.17171
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. Cyanobacteria are one of the most ancient and important phyla of organisms that has allowed the evolution of
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
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Many active systems are capable of forming intriguing patterns at scales significantly larger than the size of their individual constituents. Cyanobacteria are one of the most ancient and important phyla of organisms that has allowed the evo
Externí odkaz:
https://doaj.org/article/f20f888c09a24b7c88e9f73374da8bbd
