Ortophoto analysis for UGV long-range autonomous navigation
نویسندگان
چکیده
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.
منابع مشابه
Comparision of Aerial Imagery and Satellite Imagery for Autonomous Vehicle Path Planning
The focus of our research is to improve navigation capabilities of an offroad unmanned ground vehicle (UGV) by improving its perception range. We train an ortophoto classifier by using data gathered by UGV and then extrapolate the data into wider area by using aerial imagery from unmanned aerial vehicles (UAV). The current progress report analyses feasibility of using satellite images instead o...
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