Jammer resistant drone designs spark search for countermeasures
The Russia-Ukraine conflict has driven another stage of evolution for drones and the counter measures to defend against them.
TORC Robotics has announced that it has been issued a contract by the Robotics Technology Consortium (RTC) to develop an advanced sensor fusion system for the US Department of Defense (DOD). The system will significantly increase high-speed obstacle detection range, opening up new possibilities for deploying autonomous vehicles for missions that demand navigating at higher speeds in unstructured environments.
According to the company, this long-range obstacle detection, classification and prediction system will enhance autonomous navigation capabilities for unmanned ground vehicles operating in mission-relevant environments at speeds up to 100 KPH. The system will be capable of detecting and maintaining a variety of tracking statistics for each obstacle. TORC will incorporate these enhanced capabilities with its core autonomy framework for future availability in its AutonoNav product line.
To support integration with the project sponsor’s autonomy framework, TORC will develop an Application Programming Interface (API) for the advanced sensor fusion software, and build a hardware prototype capable of installation on a range of vehicles including the HMMWV and LMTV. The system fuses asynchronous and heterogeneous sensor modalities through a joint probabilistic data association approach to reduce false positive/negative data, which is essential to high-speed autonomous navigation. TORC will achieve long-range detection and classification through a combination of commercial-off-the-shelf LIDAR, radar and vision technologies from Ibeo, Velodyne, and Smartmicro. TORC will assess sensor and fusion performance at high-speed under a variety of man-made weather conditions to include rain, dense fog and snow at the Virginia Tech Transportation Institute (VTTI) Smart Road.
TORC will leverage software initially conceptualized under a DARPA SBIR now under further research on the RTC Sensor-based Collision Prediction project. This project provides the software architecture and obstacle prediction capabilities that TORC will extend to meet the requirements for this project. The primary research platform for this project is the ByWire XGV, a drive-by-wire controlled ground robotics vehicle.
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