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Understanding Indian driver behavior for autonomous vehicle path planning

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dc.contributor.author Deka, Namrata
dc.contributor.author Kaul, Sanjit (Advisor)
dc.contributor.author Anand, Saket (Advisor)
dc.date.accessioned 2017-11-14T05:43:16Z
dc.date.available 2017-11-14T05:43:16Z
dc.date.issued 2017-04-18
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/572
dc.description.abstract This report outlines my work in continuation to last semester on understanding human behavior when it comes to driving on Indian streets. Since traffic in India is not governed by lane-markings, zebra crossings and proper curbs autonomous cars will have to learn directly from human drivers. Here I explore a Learning from Demonstration technique namely Inverse Reinforcement Learning to learn the implicit rewards that a human driver maybe sub-consciously optimizing to decide his actions (policy) to successfully, safely and smoothly drive on our chaotic and unorganized roads. en_US
dc.language.iso en_US en_US
dc.subject Demonstration en_US
dc.subject Reinforcement learning en_US
dc.title Understanding Indian driver behavior for autonomous vehicle path planning en_US
dc.type Other en_US


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