An equation-based simulation environment to investigate fast building simulation

2006 ◽  
Vol 41 (11) ◽  
pp. 1571-1583 ◽  
Author(s):  
E. Wurtz ◽  
L. Mora ◽  
C. Inard
Keyword(s):  
Building Simulation ◽  
Simulation Environment

IISABRE: An integrated building simulation environment

1997 ◽  
Vol 32 (3) ◽  
pp. 219-224 ◽  
Author(s):  
Tianzhen Hong ◽  
Jinqian Zhang ◽  
Yi Jiang
Keyword(s):  
Building Simulation ◽  
Simulation Environment

Santos: A physics-based digital human simulation environment

2006 ◽  
Author(s):  
Karim Abdel-Malek ◽  
Jasbir Arora ◽  
Jingzhou Yang ◽  
Timothy Marler ◽  
Steve Beck ◽  
...  
Keyword(s):  
Simulation Environment ◽  
Digital Human ◽  
Human Simulation

A Simulation Environment for Analyzing the Impact of Volcanic Ash on Trajectory-Based Air Traffic Management

2013 ◽  
Author(s):  
Angela Schmitt ◽  
Ruzica Vujasinovic ◽  
Christiane Edinger ◽  
Julia Zillies ◽  
Vilmar Mollwitz
Keyword(s):  
Traffic Management ◽  
Volcanic Ash ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Simulation Environment ◽  
The Impact

F1_Tenth_Course_Report_Group_C

2018 ◽  
Author(s):  
Yi Chen ◽  
Sagar Manglani ◽  
Roberto Merco ◽  
Drew Bolduc
Keyword(s):  
Operating System ◽  
Autonomous Driving ◽  
Software Tools ◽  
Simulation Environment ◽  
Robot Operating System ◽  
Available Information

In this paper, we discuss several of major robot/vehicle platforms available and demonstrate the implementation of autonomous techniques on one such platform, the F1/10. Robot Operating System was chosen for its existing collection of software tools, libraries, and simulation environment. We build on the available information for the F1/10 vehicle and illustrate key tools that will help achieve properly functioning hardware. We provide methods to build algorithms and give examples of deploying these algorithms to complete autonomous driving tasks and build 2D maps using SLAM. Finally, we discuss the results of our findings and how they can be improved.

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