Javascript must be enabled for the correct page display

"Who is driving around me?" Situational Awareness in Traffic using Deep Integrated Feature Signatures and Kalman Filtering

Oosterhuis, Tim (2019) "Who is driving around me?" Situational Awareness in Traffic using Deep Integrated Feature Signatures and Kalman Filtering. Master's Thesis / Essay, Artificial Intelligence.

[img]
Preview
Text
mAI_2019_OosterhuisTS.pdf

Download (4MB) | Preview
[img] Text
toestemming.pdf
Restricted to Registered users only

Download (112kB)

Abstract

Being aware of other traffic is a prerequisite for self-driving cars to operate in the real world. In this paper, we show how the intrinsic feature maps of an object detection CNN can be used to uniquely identify vehicles from dash-cam feed. Additionally, the possibility of tracking vehicles using the ‘YOLO’ network extended with a Kalman filter is investigated and the resulting challenges are discussed.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Schomaker, L.R.B.
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 23 Aug 2019
Last Modified: 18 Sep 2020 09:24
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/20751

Actions (login required)

View Item View Item