Title: Computer Vision Techniques for Urban Mobility
Authors: Khoshelham, Kourosh  
Editors: Winter, Stephan 
Issue Date: Jul-2021
Book Title: Smart Parking in Fast-Growing Cities 
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.
Keywords: detection; tracking; classification; segmentation; localization; pose estimation
DOI: 10.34727/2021/isbn.978-3-85448-045-7_5
URI: http://hdl.handle.net/20.500.12708/18072
Organisation: E120 - Department für Geodäsie und Geoinformation 
License: CC BY-SA 4.0 CC BY-SA 4.0
Publication Type: Book Contribution
Appears in Collections:Book Contribution

Files in this item:

Page view(s)

checked on Jul 18, 2021

Google ScholarTM


This item is licensed under a Creative Commons License Creative Commons