Technology
2007 Urban Challenge teams employed a variety of different software and hardware combinations for interpreting sensor data, planning, and execution. Some examples:
| Team | Language(s) | OS | Hardware | Notes |
|---|---|---|---|---|
| Cornell | C++, C# | 17 dual-core servers | Planning involved Bayesian mathematics. In 2008, Cornell released the full source code under Apache License 2.0. | |
| Insight Racing | Linux | Mac Mini | Mac Minis run on DC power at relatively low power and produce less heat. | |
| Team Case | Mostly LabVIEW, some C++ and MATLAB | Windows XP | 5 Mac Minis, 2 NI PXI's, CompactRIO | Mac Minis running on DC power with solid state drives. PXI's for sensor interfaces. CompactRIO for real-time vehicle controller. Biologically-inspired software architecture. |
| Team Gray | GrayMatter, Inc. AVS. | Embedded hardware system was considerably smaller than that of other teams. Also, the system allows possible expansion with other sensors. | ||
| Team LUX | Windows XP | embedded version of XP | ||
| Team Jefferson | Java | Solaris (Java RTS), Linux (Java SE) | micro-controllers and Sun SPOT (Java ME) | On Perrone Robotics' MAX robotics platform atop Sun Microsystems' Java RTS/SE/ME. |
| Team Ben Franklin | MATLAB | |||
| Sting Racing | Java | Linux | ||
| VictorTango | a mixture of C++ and LabVIEW | Windows and Linux | ||
| Team Gator Nation (CIMAR) | C, C++, and C# | Windows, Fedora (Linux) | systems communication with the JAUS protocol. | |
| MIT | C | Linux | cluster with 40 cores | The robotic middleware library Lightweight Communications and Marshaling (LCM) was developed for the MIT vehicle. |
| Austin Robot Technology | C++ | software was written and developed by undergraduates from a UT-Austin course. Used the Player Project as an infrastructure. | ||
| Tartan Racing (winner) | Employed a hierarchical control system, with layered mission planning, motion planning, behavior generation, perception, world modelling, and mechatronics. |
Read more about this topic: DARPA Grand Challenge
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