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
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.
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