Zobrazeno 1 - 10
of 163
pro vyhledávání: '"A Wiederer"'
In recent years, there has been a growing interest in Semantic Image Synthesis (SIS) through the use of Generative Adversarial Networks (GANs) and diffusion models. This field has seen innovations such as the implementation of specialized loss functi
Externí odkaz:
http://arxiv.org/abs/2409.06074
Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we propose an approach that covers two sources of error, namely novel sit
Externí odkaz:
http://arxiv.org/abs/2308.01707
Autor:
Schmidt, Julian, Huissel, Pascal, Wiederer, Julian, Jordan, Julian, Belagiannis, Vasileios, Dietmayer, Klaus
It is desirable to predict the behavior of traffic participants conditioned on different planned trajectories of the autonomous vehicle. This allows the downstream planner to estimate the impact of its decisions. Recent approaches for conditional beh
Externí odkaz:
http://arxiv.org/abs/2304.05856
Graph neural networks have shown to learn effective node representations, enabling node-, link-, and graph-level inference. Conventional graph networks assume static relations between nodes, while relations between entities in a video often evolve ov
Externí odkaz:
http://arxiv.org/abs/2212.02875
Human intuition allows to detect abnormal driving scenarios in situations they never experienced before. Like humans detect those abnormal situations and take countermeasures to prevent collisions, self-driving cars need anomaly detection mechanisms.
Externí odkaz:
http://arxiv.org/abs/2209.01838
Human drivers can recognise fast abnormal driving situations to avoid accidents. Similar to humans, automated vehicles are supposed to perform anomaly detection. In this work, we propose the spatio-temporal graph auto-encoder for learning normal driv
Externí odkaz:
http://arxiv.org/abs/2110.07922
We present a self-supervised learning algorithm for 3D human pose estimation of a single person based on a multiple-view camera system and 2D body pose estimates for each view. To train our model, represented by a deep neural network, we propose a fo
Externí odkaz:
http://arxiv.org/abs/2108.07777
A car driver knows how to react on the gestures of the traffic officers. Clearly, this is not the case for the autonomous vehicle, unless it has road traffic control gesture recognition functionalities. In this work, we address the limitation of the
Externí odkaz:
http://arxiv.org/abs/2007.16072
We discuss the intriguing photophysics of a giant molecular spoked wheel of pi-conjugated arylenealkynylene chromophores on the single-molecule level. This "molecular mesoscopic" tructure, C1878H2682, shows fast switching between the 12 identical chr
Externí odkaz:
http://arxiv.org/abs/1612.03001
Autor:
Wiederer, Christina, Straube, Frank
Publikováno v:
In Transportation Research Interdisciplinary Perspectives September 2019 2
