NDLI: Intelligent Vehicle Simulation and Debugging Environment Based on Physics Engine

Content Provider	IEEE Xplore Digital Library
Author	Feng Luo Chu Liu Zechang Sun
Copyright Year	2009
Abstract	In order to improve the development efficiency of the embedded intelligent vehicle system and replace the inefficient traditional embedded system debugging method, a simulation and debugging environment is developed for intelligent vehicles which are able to detect black tracks on white routes and realize fast automatic driving. OpenGL graphics engine is integrated in this system, which constructs simulated routes and vehicles, performs the whole scene and displays objects on the screen. ODE physics engine is introduced to the environment for the simulation of rigid body dynamics, and makes vehicle drive and interact with other scene objects. Algorithm and other user defined functions are compiled into an algorithm library on the PC and can be debugged directly by the simulation environment, which eases the code transplant process. By using this environment, it will be more convenient to guarantee the stability and robustness of the software of intelligent vehicles. In the meantime, high performance software code can be produced for precise steer control and safe driving, and the intelligent vehicles are able to run stably on any provided course at a high speed. Test results show that the intelligent vehicle simulation and debugging environment could actually improve the development efficiency and speed up the development progress significantly.
Starting Page	329
Ending Page	333
File Size	659448
Page Count	5
File Format	PDF
ISBN	9781424433315
DOI	10.1109/CAR.2009.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	Thailland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust stability Debugging OpenGL Displays ODE Physics Engine Simulation and Debugging Environment Physics Engines Graphics Intelligent vehicles Intelligent Vehicle Vehicle detection Layout Embedded system Automatic Driving
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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