Essays about: "street performance"

Showing result 1 - 5 of 41 essays containing the words street performance.

1. 1. Can urban tree re-inventories inform future species selection? : diameter at breast height as an indicator for tree performance in Malmö municipality’s tree database

   University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

   Author : Hannah Kit Kraynick Braegelmann; [2023]
   Keywords : DBH; ; diameter at breast height; tree inventories; tree re-inventories; urban forestry; species selection; tree management;

   Abstract : Using the inventory database of trees for Malmö municipality, Sweden, this study explored the potential of using the diameter at breast height (DBH) measurement in re-inventories, as a decision-making tool for species selection and management in urban forests. With the escalating pressures of urbanization and unpredictable climate change effects, there is an urgent need for urban forest managers to possess reliable tools that can facilitate the selection of resilient tree species capable of thriving in diverse and changing urban contexts. READ MORE

3. 2. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

   University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

   Author : Punnawat Siripatthiti; [2023]
   Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

   Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

4. 3. Assembling Paint, Parties and Toxins

   University essay from Lunds universitet/Avdelningen för etnologi

   Author : Mina Planting Mollaoglu; [2023]
   Keywords : Malmö; Sofielund; cultural sound zone; municipality policy; culture; urban planning; built environment; industry; graffiti; associations; community culture; cultural analysis; materialism; assemblage; tactics; space; terrain vague.; Cultural Sciences;

   Abstract : Over the last decade, Swedish cities like Stockholm and Gothenburg have seen a decline in cultural events due to noise complaints, unsuitable locations, and changing demographics. Malmö, facing similar issues amid urban growth, introduced a 2021 planning program for the Sofielund industrial district, featuring a "cultural sound zone" to support cultural activities. READ MORE

5. 4. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jinchen Liu; [2023]
   Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

   Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

6. 5. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Beatrice Lovely; [2022]
   Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

   Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE