Honeybee Robotics Secures SBIR Phase 1 Award for Cross-Platform Perception API for Unmanned Vehicles

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Honeybee Robotics today announced it has received a Small Business Innovation Research (SBIR) award from the Defense Threat Reduction Agency (DTRA) to develop a cross-platform perception application programming interface (API) for unmanned vehicles. The award will fund development of a programming interface that enables cross-platform testing and evaluation of perceptual systems on autonomous vehicles.

Currently, autonomous vehicles lack a standardized mechanism for seamless cross-platform sharing of testing frameworks and evaluations of basic tasks. The ability to execute common tests on various hardware platforms is essential to efficiently compare the effectiveness of different unmanned systems in the field, and to accomplish more complicated tasks from a set of platforms. A generic cross-platform perception API for assessment of autonomous vehicle perception system performance is needed.

Under the SBIR, Honeybee Robotics is developing API coupled with a user interface (UI) for the purposes of cross-platform testing and evaluation of perceptual systems on autonomous vehicles. This system will reduce the efforts required to transfer tests across hardware platforms, as well as enable more seamless transfers of perception systems used on autonomous vehicles to other robotic platforms. As a result, it will be possible to perform common evaluation tasks that are agnostic to the underlying robotic hardware.