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pro vyhledávání: '"Bühren, Markus"'
Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning a safe future trajectory heavily depends on understanding the traffic
Externí odkaz:
http://arxiv.org/abs/2201.06933
The ability to predict multiple possible future positions of the ego-vehicle given the surrounding context while also estimating their probabilities is key to safe autonomous driving. Most of the current state-of-the-art Deep Learning approaches are
Externí odkaz:
http://arxiv.org/abs/2010.00802
Autor:
Binder, Thomas, Wedel, Andreas, Bühren, Markus, Herget, Constantin, Studer, Stefan, Maier, Holger, Breu, Jakob, Hafner, Michael, Hug, Tobias, Hämmerling, Carsten, Pressel, Ulrich
Publikováno v:
Sonderprojekte ATZ/MTZ; June 2016, Vol. 21 Issue: Supplement 1 p70-81, 12p