The paper presents a method of terrain classification and path planning for unmanned ground vehicles. The terrain classification is done on imagery that is acquired from UAV (unmanned aerial vehicle) or satellite and is used for UGV (unmanned ground vehicle) path planning thus introducing collaboration capabilities to the system of two. The system complements the UGV on-board navigation system by increasing its perception distance and providing longrange path planning capability.
We have developed a system that uses aerial imagery for improving unmanned ground vehicle navigation capabilities. The current article focuses on the viability of using heterogeneous computing architecture for improving system performance in terms of energy consumption and area analysed per second
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