Automated Vehicles from Modeling to Real World

Author(s):  
Ismail Zohdy ◽  
Raj Kamalanathsharma ◽  
Sudharson Sundararajan ◽  
Ram Kandarpa
10.29007/1p2d ◽  
2019 ◽  
Author(s):  
Moritz Klischat ◽  
Octav Dragoi ◽  
Mostafa Eissa ◽  
Matthias Althoff

Testing motion planning algorithms for automated vehicles in realistic simulation environments accelerates their development compared to performing real-world test drives only. In this work, we combine the open-source microscopic traffic simulator SUMO with our software framework CommonRoad to test motion planning of automated vehicles. Since SUMO is not originally designed for simulating automated vehicles, we present an inter- face for exchanging the trajectories of vehicles controlled by a motion planner and the trajectories of other traffic participants between SUMO and CommonRoad. Furthermore, we ensure realistic dynamic behavior of other traffic participants by extending the lane changing model in SUMO to implement more realistic lateral dynamics. We demonstrate our SUMO interface with a highway scenario.


2012 ◽  
Vol 2 (5) ◽  
pp. 91-99 ◽  
Author(s):  
Naohisa Hashimoto ◽  
Umit Ozguner ◽  
Masashi Yokozuka ◽  
Shin Kato ◽  
Osamu Matsumoto ◽  
...  

2019 ◽  
Author(s):  
Darrell Robinette ◽  
Eric Kostreva ◽  
Alexandra Krisztian ◽  
Anthony Lackey ◽  
Christopher Morgan ◽  
...  

Author(s):  
Erwin de Gelder ◽  
Jeroen Manders ◽  
Corrado Grappiolo ◽  
Jan-Pieter Paardekooper ◽  
Olaf Op den Camp ◽  
...  

2021 ◽  
Author(s):  
E. Esenturk ◽  
S. Khastgir ◽  
A. Wallace ◽  
P. Jennings

2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.


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