| 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 | 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. |
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 https://doi.org/10.34727/2021/isbn.978-3-85448-045-7_5 |
Organisation: | E120 - Department für Geodäsie und Geoinformation | License: |  CC BY-SA 4.0 |
Publication Type: | Book Contribution Buchbeitrag |
| Appears in Collections: | Book Contribution |
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