Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Michalke, Thomas"'
One of the key challenges for autonomous vehicles is the ability to accurately predict the motion of other objects in the surrounding environment, such as pedestrians or other vehicles. In this contribution, a novel motion forecasting approach for au
Externí odkaz:
http://arxiv.org/abs/2310.04232
Publikováno v:
IEEE Intelligent Vehicles Conference 2023
The detection of previously unseen, unexpected obstacles on the road is a major challenge for automated driving systems. Different from the detection of ordinary objects with pre-definable classes, detecting unexpected obstacles on the road cannot be
Externí odkaz:
http://arxiv.org/abs/2304.12219
Autor:
Ruthardt, Jona, Michalke, Thomas
Publikováno v:
IEEE Intelligent Transportation Systems Conference 2022
Data-driven perception approaches are well-established in automated driving systems. In many fields even super-human performance is reached. Unlike prediction and planning approaches, mainly supervised learning algorithms are used for the perception
Externí odkaz:
http://arxiv.org/abs/2207.11234
Lane detection is an essential part of the perception sub-architecture of any automated driving (AD) or advanced driver assistance system (ADAS). When focusing on low-cost, large scale products for automated driving, model-driven approaches for the d
Externí odkaz:
http://arxiv.org/abs/2004.07639
Publikováno v:
In Computer Vision and Image Understanding 2010 114(5):548-563
Autor:
Michalke, Thomas, Kastner, Robert, Adamy, Jürgen, Bone, Sven, Waibel, Falko, Kleinehagenbrock, Marcus, Gayko, Jens, Gepperth, Alexander, Fritsch, Jannik, Goerick, Christian
Research on computer vision systems for driver assistance resulted in a variety of isolated approaches mainly performing very specialized tasks like, e. g., lane keeping or traffic sign detection. However, for a full understanding of generic traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909af7ba814514d5db2ca26b345fd07d
Autor:
Michalke, Thomas, Gepperth, Alexander, Schneider, Martin, Fritsch, Jannik, Goerick, Christian
Publikováno v:
International Conference on Computer Vision Systems : Proceedings (2007)
Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e1dee2f398c4f3f7bd4b77d7d938b7a
Publikováno v:
Advanced Microsystems for Automotive Applications 2014; 2014, p3-13, 11p
Publikováno v:
2014 IEEE Intelligent Vehicles Symposium Proceedings; 2014, p1270-1275, 6p
Publikováno v:
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013); 2013, p2173-2180, 8p