End to end learning for autonomous driving on unpaved roads : a study towards automated wildlife patrol
Date
2020
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Abstract
The aim is to investigate the technological feasibility of deploying automated Unmanned Ground Vehicles (UGV) for automated wildlife patrol. The presentation outlines a feasibility study and cost benefit analysis for a project that would cover peak seasons when there is a shortage of park rangers. Data is drawn from field tests in Nairobi National Park; Ruma National Park; and on paved road/highways in Kenya).
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Keywords
AI4D, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, UNMANNED GROUND VEHICLES, DATA COLLECTION, WILDLIFE CONSERVATION, NATIONAL PARKS, NAIROBI, KENYA, SOUTH OF SAHARA