Computer Vision Techniques for Urban Mobility

Khoshelham, Kourosh

doi:10.34727/2021/isbn.978-3-85448-045-7_5

Datensatz Zitierlink:

http://hdl.handle.net/20.500.12708/18072
https://doi.org/10.34727/2021/isbn.978-3-85448-045-7_5

Titel:

Computer Vision Techniques for Urban Mobility

Zitat:

Khoshelham, K. (2021). Computer Vision Techniques for Urban Mobility. In S. Winter (Ed.), Smart Parking in Fast-Growing Cities (pp. 62–76). TU Wien Academic Press. https://doi.org/10.34727/2021/isbn.978-3-85448-045-7_5

reposiTUm-DOI:

10.34727/2021/isbn.978-3-85448-045-7_5

CatalogPlus:

AC17202773

Publikationstyp:

Buchbeitrag - Beitrag in Sammelband

Sprache:

Englisch

Autor_innen:

Khoshelham, Kourosh

Organisationseinheit:

E120 - Department für Geodäsie und Geoinformation

Erschienen in:

Smart Parking in Fast-Growing Cities

ISBN:

978-3-85448-045-7

DOI des Buches:

10.34727/2021/isbn.978-3-85448-045-7

Datum (veröffentlicht):

Jul-2021

Umfang:

Verlag:

TU Wien Academic Press, Wien

Peer Reviewed:

Keywords:

detection; tracking; classification; segmentation; localization; pose estimation

Abstract:

This chapter provides an overview of computer vision techniques with applications in urban mobility and transport systems. Focusing on imagery and Light Detection and Ranging (LiDAR) point clouds as the main data modalities, the chapter reviews relevant computer vision tasks, including classification, segmentation, object detection and tracking. Example applications of these techniques to data captured by stationary sensors installed in the environment as well as mobile sensors onboard vehicles will then be discussed.

Zugehörige Publikationen und Daten in reposiTUm: ist Teil von:

10.34727/2021/isbn.978-3-85448-045-7

Lizenz:

CC BY-SA 4.0