End to end learning for autonomous driving on unpaved roads : a study towards automated wildlife patrol

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AfNLP_43.pdf (1.09 MB)

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).

Description

Keywords

AI4D, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, UNMANNED GROUND VEHICLES, DATA COLLECTION, WILDLIFE CONSERVATION, NATIONAL PARKS, NAIROBI, KENYA, SOUTH OF SAHARA

Citation

URI

http://hdl.handle.net/10625/60132

DOI

Collections

IDRC Research Results / Résultats de recherches du CRDI
2020-2029 / Années 2020-2029
Research Results (Foundations for Innovation) / Résultats de recherche (Les Fondements pour l’innovation)
Research Results (Networked Economies) / Résultats de recherche (Économies en réseaux)