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Artificial Neural Network Autonomous Vehicle: Artificial Neural Network controlled vehicle
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis aims to explain how a Artificial Neural Network algorithm could

be used as means of control for a Autonomous Vehicle. It describes the theory

behind the neural network and Autonomous Vehicles, and how a prototype with

a camera as its only input can be designed to test and evaluate the algorithms

capabilites, and also drive using it. The thesis will show that the Artificial

Neural Network can, with a image resolution of 100 × 100 and a training set

with 900 images, makes decisions with a 0.78 confidence level.

Abstract [sv]

Denna rapport har som mal att beskriva hur en Artificiellt Neuronnatverk al-

goritm kan anvandas for att kontrollera en bil. Det beskriver teorin bakom neu-

ronnatverk och autonoma farkoster samt hur en prototyp, som endast anvander

en kamera som indata, kan designas for att testa och utvardera algoritmens

formagor. Rapporten kommer visa att ett neuronnatverk kan, med bildupplos-

ningen 100 × 100 och traningsdata innehallande 900 bilder, ta beslut med en

0.78 sakerhet.

Place, publisher, year, edition, pages
2016. , 58 p.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-191192OAI: oai:DiVA.org:kth-191192DiVA: diva2:955289
Supervisors
Examiners
Available from: 2016-08-25 Created: 2016-08-25 Last updated: 2016-08-25Bibliographically approved

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