Infrastructure Engineering - Research Publications
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ItemParking Occupancy Detection and Slot Delineation Using Deep Learning: A Tutorial(TU Wien Academic Press, 2021)This chapter describes a simple method for parking occupancy detection and an automatic parking slot delineation method using CCTV images. These methods will be presented in the form of MATLAB tutorials with code snippets to allow the interested reader to implement the method and obtain results on a sample dataset. The first tutorial will involve fine-tuning a pre-trained deep neural network for vehicle detection in a sequence of CCTV camera images to determine the occupancy of the parking spaces. In the second tutorial, we perform spatio-temporal analysis of the detections made by a state-of-the-art deep learning object detector (Faster-RCNN) for automatic parking slot delineation.
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ItemComputer Vision Techniques for Urban Mobility(TU Wien Academic Press, 2021)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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ItemSensors for Parking Occupancy Detection(TU Wien Academic Press, 2021)This chapter provides an overview of sensor technologies and methodologies for determining the occupancy of parking spaces. It covers a range of sensors including active and passive sensors that can be installed overhead, in or on the ground in both indoor and outdoor environments. The chapter also provides a comparison of sensors, and Discusses considerations for sensor selection and open challenges in parking occupancy detection.