Vehicle Safeguarding - Robotics Institute Carnegie Mellon University

The NREC designed, developed and tested a fully autonomous system capable of following pre-taught paths while detecting and avoiding obstacles.

Having a system capable of detecting obstacles and terrain hazards would significantly increase the safety of both manned and unmanned agricultural vehicles. This project focuses on perception to provide machine awareness of environment as an element for safeguarding agricultural vehicles. Our approach is to use modern machine learning techniques and sensor fusion for building a robust obstacle detection system that can be adapted easily to different environments and operating conditions.

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