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Simulated Highways for Intelligent Vehicle Algorithms (SHIVA)
This project is no longer active.

Head: Rahul Sukthankar
Contact: Rahul Sukthankar (rahuls@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: NavLab

For more information, see this project's homepage.


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Project Description

Intelligent vehicles must make real-time tactical level decisions to drive in mixed traffic environments. Since repeatable testing of different algorithms in rare and potentially dangerous situations is necessary, we have developed a custom simulator for this task. SHIVA (Simulated Highways for Intelligent Vehicle Algorithms) mirrors many aspects of the Carnegie Mellon Navlab system, enabling algorithms developed in simulation to be implemented on the robot with minimal modification. Accurate sensor modeling (with noise and occlusion) encourages developers to create algorithms that will work on real robots. Incremental development is facilitated through hierarchies for vehicles, sensors and reasoning objects. An integrated simulation and animation environment provides interactive graphical debugging capabilities.


Past members


Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.


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