City Scale Challenges

Attentional graph neural network for parking slot detection

demographics dispersion geospatial gis land-use land-use-mix open-data openstreetmap overpass-api population-density spatial-analysis sustainability sustainable-development-goals urban urban-accessibility urban-dispersion urban-planning urban-sprawl

24/11/2020
this week

Attentional Graph Neural Network for Parking slot Detection Bin Dai, Yiming Nie, Dawei Zhao, Liang Xiao, Jiaolong Xu, Chen Min

Deep learning has recently demonstrated its promising performance for vision-based parking-slot detection. However, very few existing methods explicitly take into account learning the link information...

Python
Pytorch

Pedestrian Intention Classification

Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection

NeTEx

04/10/2017
2 weeks ago

NeTEx is a CEN Technical Standard for exchanging Public Transport schedules and related data.

Opendigitaltwins smartcities

cen exchange netex public schema timetable xsd

DTDL based ontology for Smart Cities

SPFCN: Select and Prune the Fully Convolutional Networks for Real time Parking Slot Detection

17/04/2020
this week

SPFCN: Select and Prune the Fully Convolutional Networks for Real time Parking Slot Detection Yuyao Huang, Hansheng Chen, Zhuoping Yu, Zhong Gao

For vehicles equipped with the automatic parking system, the accuracy and speed of the parking slot detection are crucial. But the high accuracy is obtained at the price of low speed or expensive computation...

Python
Pytorch

Constant velocity pedestrian motion

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Vincent Aravantinos, Christoph Schöller, Florian Lay, Alois Knoll

Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to operate safely. In recent years many complex approaches based on neural networks have been proposed to address this...

Pytorch

Salient Pedestrian Detection

Pedestrian Detection in Thermal Images using Saliency Maps Shasvat Mukeshkumar Desai, Madalina Fiterau, Sneha Bhattacharya, Deep Chakraborty, Debasmita Ghose, Tauhidur Rahman

Thermal images are mainly used to detect the presence of people at night orin bad lighting conditions, but perform poorly at daytime. To solve thisproblem, most state-of-the-art techniques employ a fusion...

Pytorch

PedestrianAvoidancePOMDP.Jl

POMDP formulation of a pedestrian avoidance problem for autonomous driving

PED DETR for Pedestrian Detection

DETR for Crowd Pedestrian Detection Zhidong Deng, Wanli Ouyang, Junjie Yan, Chen Lin, Ming Sun, Xingyuan Bu, Chuming Li, Matthieu Lin

Pedestrian detection in crowd scenes poses a challenging problem due to the heuristic defined mapping from anchors to pedestrians and the conflict between NMS and highly overlapped pedestrians. The recently...

Pytorch

Transportation Mode Detection with Unconstrained Smartphones Sensors

16/06/2017
1 month ago

Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity Claudia Carpineti, Marco Di Felice, Luca Bedogni, Vincenzo Lomonaco, Luciano Bononi

Making applications aware of the mobility experienced by the user can openthe door to a wide range of novel services in different use-cases, from smartparking to vehicular traffic monitoring. In the literature,...

Python

Pedestrian detection ssdlite

context-awareness internet-of-things neural-networks random-forest

Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks Kaiming He, Shaoqing Ren, Ross Girshick, Jian Sun

State-of-the-art object detection networks depend on region proposalalgorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNNhave reduced the running time of these detection networks,...

conference

Rich feature hierarchies for accurate object detection and semantic segmentation Jeff Donahue, Ross Girshick, Trevor Darrell, Jitendra Malik

Object detection performance, as measured on the canonical PASCAL VOCdataset, has plateaued in the last few years. The best-performing methods arecomplex ensemble systems that typically combine multiple...

Pedestrian detection ssdlite

Tensorflow

Rich feature hierarchies for accurate object detection and semantic segmentation Jeff Donahue, Ross Girshick, Trevor Darrell, Jitendra Malik

conference

Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks Kaiming He, Shaoqing Ren, Ross Girshick, Jian Sun

Detect parking spaces from a video of the parking lot. It will then merge the detections from multiple image and from multiple scales into the final prediction.

Tensorflow

Pedestrian recognition

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Menglong Zhu, Marco Andreetto, Weijun Wang, Dmitry Kalenichenko, Bo Chen, Tobias Weyand, Hartwig Adam, Andrew G. Howard

We present a class of efficient models called MobileNets for mobile andembedded vision applications. MobileNets are based on a streamlinedarchitecture that uses depth-wise separable convolutions to build...

In Defense of the Triplet Loss for Person Re Identification Alexander Hermans, Bastian Leibe, Lucas Beyer

In the past few years, the field of computer vision has gone through arevolution fueled mainly by the advent of large datasets and the adoption ofdeep convolutional neural networks for end-to-end learning...

Tensorflow

27/05/2019
this week

M2Det: A Single Shot Object Detector based on Multi Level Feature Pyramid Network Haibin Ling, Zhi Tang, Yongtao Wang, Ying Chen, Ling Cai, Qijie Zhao, Tao Sheng

Feature pyramids are widely exploited by both the state-of-the-art one-stageobject detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage objectdetectors (e.g., Mask R-CNN, DetNet) to alleviate...

Jupyter
Pytorch

computer-vision neural-networks object-detection

Pedestrian traffic lights

LYTNet: A Convolutional Neural Network for Real Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired Samuel Yu, Heon Lee, John Kim

Currently, the visually impaired rely on either a sighted human, guide dog, or white cane to safely navigate. However, the training of guide dogs is extremely expensive, and canes cannot provide essential...

Street Crossing Aid Using Light weight CNNs for the Visually Impaired Samuel Yu, Heon Lee, Jung Hoon Kim

In this paper, we address an issue that the visually impaired commonly face while crossing intersections and propose a solution that takes form as a mobile application. The application utilizes a deep...

Pytorch

Intelligent transportation system

Pedestrian Detection using Non Maximum Suppression

25/05/2020
this week

CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate content, semantic segmentation to get zebra crossing, tradition method to get area of lanes .Etc.

Python

MASK PCPA Pedestrian Crossing Intention Prediction

keras-tensorflow multi-object-tracking object-detection semantic-segmentation traditional-computer-vision

Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio Temporal Attention Ümit Özgüner, Keith Redmill, Ekim Yurtsever, Haolin Zhang, Dongfang Yang

Predicting vulnerable road user behavior is an essential prerequisite for deploying Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be recognized in real-time, especially...

Tensorflow

Pedestrian Crossing Intention Prediction

Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio Temporal Attention Ümit Özgüner, Keith Redmill, Ekim Yurtsever, Haolin Zhang, Dongfang Yang

Tensorflow

Semi Supervised Hierarchical Recurrent Graph Neural Network for City Wide Parking Availability Prediction

04/05/2020
4 weeks ago

Semi Supervised Hierarchical Recurrent Graph Neural Network for City Wide Parking Availability Prediction Hui Xiong, Hao liu, Jingbo Zhou, Yanchi Liu, Weijia Zhang

The ability to predict city-wide parking availability is crucial for the successful development of Parking Guidance and Information (PGI) systems. Indeed, the effective prediction of city-wide parking...

Python
Pytorch

graph-neural-networks parking-availability-prediction semi-supervised-learning spatial-temporal-forecasting urban-computing

PedestrianActionBenchmark

Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"

Global indicators

16/04/2019
1 week ago

An open source tool for estimation of pedestrian accessibility indicators for cities worldwide using open data, such as OpenStreetMap (OSM), the Global Human Settlement Layer (GHSL), and GTFS feeds (where available).

Jupyter

ArXiv 2011.00413: (MATLAB Simulation) Collision Avoidance in Tightly Constrained Environments without Coordination: a Hierarchical Control Approach.

accessibility city city-government health public-health public-transportation transportation-network urban urban-design urban-planning

22/06/2020
3 weeks ago

Collision Avoidance in Tightly Constrained Environments without Coordination: a Hierarchical Control Approach

We present a hierarchical control approach for maneuvering an autonomous vehicle (AV) in tightly-constrained environments where other moving AVs and/or human driven vehicles are present. A two-level hierarchy...

Matlab

PyCity

06/03/2015
4 months ago

Python package for data handling and scenario generation of city districts

Python

PedesFormer SwinTransformer For Pedestrian Detection

city modeling urban urban-energy-modeling

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond Ling Shao, Saad Ullah Akram, Jinpeng Li, Shengcai Liao, Irtiza Hasan

Pedestrian detection is the cornerstone of many vision based applications, starting from object tracking to video surveillance and more recently, autonomous driving. With the rapid development of deep...

Pytorch

Awesome Pedestrian

Pedestrian Datasets, Papers, Resources

Pytorch

ECCV 2018 pedestrian detection challenege

Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge Md Ashraful Alam Milton

The main essence of this paper is to investigate the performance of RetinaNetbased object detectors on pedestrian detection. Pedestrian detection is animportant research topic as it provides a baseline...

Pytorch

AdvancedTrafficSim

06/06/2017
1 years ago

Take real data from several OpenData providers and create your own 3D world. The focus lies on public transport. You can manage and create route networks as a leader of a traffic company in your region. Many aspects are considered in this simulation and if you want you also can decide to live in this world or drive your own transport vehicles.

Pedestrian Attribute LGNet

addon advanced bus city data line management open public simulation street traffic train

Source code for paper "Localization Guided Learning for Pedestrian Attribute Recognition" (BMVC 2018)

Pedestrian Detection and Tracking for Autonomous Vehicles

This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction

MultispectralPedestrianDetection

Anchor free Small scale Multispectral Pedestrian Detection Rainer Stiefelhagen, Alexander Wolpert, M. Saquib Sarfraz, Michael Teutsch

Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR) image pairs are well-suited for practical applications like autonomous driving or visual surveillance. Such data...

VisionForPedestrian

A Real Time Predictive Pedestrian Collision Warning Service for Cooperative Intelligent Transportation Systems Using 3D Pose Estimation Jong-Hwan Kim, Hwasoo Yeo, Ue-Hwan Kim, Dongho Ka

Minimizing traffic accidents between vehicles and pedestrians is one of the primary research goals in intelligent transportation systems. To achieve the goal, pedestrian orientation recognition and prediction...

Pytorch

Public transport victoria

25/07/2020
3 weeks ago

Custom component for retrieving departure times for Public Transport Victoria.

Python

australia bus hacktoberfest hacs ptv public train tram victoria

Librebike.Github.Io

16/06/2018
2 years ago

Upcycling left behind oBikes.

Html

Source files for our regularization paper!

bike bikesharing libre obike open public utilities

15/11/2017
5 months ago

Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn

The goal of regression and classification methods in supervised learning is to minimize the empirical risk, that is, the expectation of some loss function quantifying the prediction error under the empirical...

homepage

Jupyter

Virtual to Real Pedestrian Detection

Code and Resources for our paper "Virtual to Real adaptation of Pedestrian Detectors" - https://www.mdpi.com/1424-8220/20/18/5250

Pytorch

PedestrianTracking

YOLOv3: An Incremental Improvement Ali Farhadi, Joseph Redmon

We present some updates to YOLO! We made a bunch of little design changes tomake it better. We also trained this new network that's pretty swell. It's alittle bigger than last time but more accurate. It's...

Simple Online and Realtime Tracking Lionel Ott, ZongYuan Ge, Alex Bewley, Ben Upcroft, Fabio Ramos

This paper explores a pragmatic approach to multiple object tracking wherethe main focus is to associate objects efficiently for online and realtimeapplications. To this end, detection quality is identified...

Parking Lot Occupancy Detection in Pytorch (http://cnrpark.It)

17/06/2020
3 months ago

Deep learning for decentralized parking lot occupancy detection G. Amato, F. Carrara, C. Gennaro, C. Vairo, F. Falchi, C. Meghini

Python
Pytorch

GNU Affero General Public License v3.0

MaaSSim

Agent-based simulator for two sided urban mobility markets

GraphCNN + LSTM for city level parking prediction

02/02/2019
5 months ago

A deep learning approach to real time parking occupancy prediction in spatio temporal networks incorporating multiple spatio temporal data sources Sean Qian, Xidong Pi, Wei Ma, Shuguan Yang

A deep learning model is applied for predicting block-level parking occupancy in real time. The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial relations of traffic flow...

Jupyter
Pytorch

Official implementation for paper "Model based Decision Making with Imagination for Autonomous Parking"

08/12/2017
1 week ago

Model based Decision Making with Imagination for Autonomous Parking Nanning Zheng, Shitao Chen, Yu Chen, Ziyue Feng

Autonomous parking technology is a key concept within autonomous driving research. This paper will propose an imaginative autonomous parking algorithm to solve issues concerned with parking. The proposed...

C++

Pedestrian Attribute Recognition

A Richly Annotated Dataset for Pedestrian Attribute Recognition Haibin Ling, Xiaotang Chen, Zhang Zhang, Kaiqi Huang, Dangwei Li

In this paper, we aim to improve the dataset foundation for pedestrianattribute recognition in real surveillance scenariOS. Recognition of humanattributes, such as gender, and clothes types, has great...

Pytorch

Pedestrian intent action detection

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction Xiaoxiao Du, Ram Vasudevan, Matthew Johnson Roberson, Ella Atkins, Yu Yao

Accurate prediction of pedestrian crossing behaviors by autonomous vehicles can significantly improve traffic safety. Existing approaches often model pedestrian behaviors using trajectories or poses but...

Pytorch

YOLOv3 pedestrian

A minimal Pytorch implementation of YOLOv3, with support for training, inference and evaluation adapted for Pedestrian detection and made compatible with the ECP Dataset

Asymmetrical Bi RNNs to encode pedestrian trajectories

Asymmetrical Bi RNN for pedestrian trajectory encoding Fabien Moutarde, Joseph Gesnouin, Raphaël Rozenberg

Pedestrian motion behavior involves a combination of individual goals and social interactions with other agents. In this article, we present an asymmetrical bidirectional recurrent neural network architecture...

Pytorch

Complexity

05/12/2017
1 years ago

Some notes for complexity science

Jupyter

Official repository for the "Image Based Parking Space Occupancy Classification: Dataset and Baseline" paper.

complexity data geography urban

25/07/2021
1 month ago

Image Based Parking Space Occupancy Classification: Dataset and Baseline Martin Marek

We introduce a new dataset for image-based parking space occupancy classification: ACPDS. Unlike in prior datasets, each image is taken from a unique view, systematically annotated, and the parking lots...

Python
Pytorch

High Speed Pedestrian Crossing Prediction

A computer vision project to predict pedestrian crossing intention

Predicting Airbnb prices with machine learning and location data

19/09/2019
5 months ago

Repo for: Predicting Airbnb prices IBM's Data Science Professional Certificate Capstone

Html
Python

airbnb coursera-capstone data-science edinburgh foursquare-api ibm neural-networks price urban

Awesome wbup

13/05/2019
2 years ago

A list of awesome Web Based Urban Projections.

Creative Commons Zero v1.0 Universal

awesome data projections urban url web-based

Urban planning theory

26/03/2018
2 months ago

Urban planning research paper

Css

research-paper urban urban-planning

Oasis frontend

04/07/2017
1 month ago

Linked Data for more discoverable public transport services

Typescript

Parking Management System

data linked public

Stadtnavi app

21/04/2021
3 months ago

The model project for networked mobility in Herrenberg

Dart

public

18/03/2021
2 weeks ago

Real time object detection method based on improved YOLOv4 tiny Yanfei Jia, Shuaiyang Li, Liquan Zhao, Zicong Jiang

The "You only look once v4"(YOLOv4) is one type of object detection methods in deep learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and reduce parameters, which makes...

C
Tensorflow

Car parking

13/04/2019
5 months ago

Mask R CNN Piotr Dollár, Georgia Gkioxari, Ross Girshick, Kaiming He

We present a conceptually simple, flexible, and general framework for objectinstance segmentation. Our approach efficiently detects objects in an imagewhile simultaneously generating a high-quality segmentation...

Pedestrian transition dataset

Jupyter

Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion Alexandre Alahi, Taylor Mordan, Dongxu Guo

Forecasting pedestrians' future motions is essential for autonomous driving systems to safely navigate in urban areas. However, existing prediction algorithms often overly rely on past observed trajectories...

Pytorch

Pedestrian Intention Prediction A Muti Task Perspective

Semester Project at VITA Lab, EPFL - Supervised by Prof. Alexandre Alahi, Saeed Saadatnejad

Pytorch

Iur ade citydb

07/08/2020
5 months ago

I Urban Revitalization ADE extension for the 3DCityDB

Java

Apache license 2.0

3dcitydb ade citygml iur planning revitalization urban

Despite the ubiquity of transportation data, statistical inference methods alone are not able to explain mechanistic relations within a network. Inverse optimization methods that capture network structure fulfill this gap, but they are designed to take observations of the same model to learn the parameters of that model. New inverse optimization models and supporting algorithms are proposed to learn the parameters of heterogeneous travelers route optimization such that the value of shared network resources (e.G. Link capacity dual prices) can be inferred. The inferred values are internally consistent with each agents optimization program. We prove that the method can obtain unique dual prices for a network shared by these agents, in polynomial time. Three experiments are conducted. The first one, conducted on a 4 node network, verifies the methodology to obtain heterogeneous link cost parameters even when a mixed logit model cannot provide meaningful results. The second is a parameter recovery test on the Nguyen Dupuis network that shows that unique latent link capacity dual prices can be inferred using the proposed method. The last test on the same network demonstrates how a monitoring system in an online learning environment can be designed using this method.

08/02/2017
1 years ago

Network learning via multi agent inverse transportation problems Susan Jia Xu, Mehdi Nourinejad, Xuebo Lai, Joseph Y. J. Chow

Despite the ubiquity of transportation data, methods to infer the stateparameters of a network either ignore sensitivity of route decisions, requireroute enumeration for parameterizing descriptive models...

Matlab

Tamaas

A parameter free mechanistic model of the adhesive wear process of rough surfaces in sliding contact

In order to develop predictive wear laws, relevant material parameters and their influence on the wear rate need to be identified. Despite decades of research, there is no agreement on the mathematical...

Crack Nucleation in the Adhesive Wear of an Elastic Plastic Half Space

The detachment of material in an adhesive wear process is driven by a fracture mechanism which is controlled by a critical length-scale. Previous efforts in multi-asperity wear modeling have applied this...

A Fourier accelerated volume integral method for elastoplastic contact

The contact of solids with rough surfaces plays a fundamental role in physical phenomena such as friction, wear, sealing, and thermal transfer. However, its simulation is a challenging problem due to surface...

ML course maastricht

A Text Embedding based Approach to Measure Patent to Patent Technological Similarity Workflow, Code, and Applications

This paper describes an efficiently scalable approach to measure technological similarity between patents by combining embedding techniques from natural language processing with nearest-neighbor approximation...

Introduction to Rare Event Predictive Modeling for Inferential Statisticians A Hands On Application in the Prediction of Breakthrough Patents Roman Jurowetzki, Daniel Hain

Recent years have seen a substantial development of quantitative methods, mostly led by the computer science community with the goal of developing better machine learning applications, mainly focused on...

Surf

03/06/2015
1 years ago

Simulating Urban Flows. A project for the grant 'Understanding Urban Movements through Big Data and Social Simulation'.

Html
Java

This is the public repository for the "No collision Transportation Maps" paper.

agent-based-modeling agent-based-simulation mason scala simulation urban

Iur ade citygml4j

07/08/2020
5 months ago

I Urban Revitalization ADE module for citygml4j

Java

Apache license 2.0

ade citygml citygml4j iur planning revitalization urban

15/11/2019
1 years ago

No collision Transportation Maps Adam M. Oberman, Levon Nurbekyan, Alexander Iannantuono

Transportation maps between probability measures are critical objects in numerous areas of mathematics and applications such as PDE, fluid mechanics, geometry, machine learning, computer science, and economics...

Python

approximation-algorithms comparisons k-d-tree no-collision optimal-transport paper pot

Source for Transportation

31/10/2021
2 weeks ago

Relation Source for Transportation

Data Driven Price of Anarchy Estimation using Inverse Optimization

16/06/2018
4 months ago

Data Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi Class Transportation Networks Jing Zhang, Ioannis Ch. Paschalidis

We develop a method to estimate from data travel latency cost functions inmulti-class transportation networks, which accommodate different types ofvehicles with very different characteristics (e.g., cars...

Data driven Estimation of Origin Destination Demand and User Cost Functions for the Optimization of Transportation Networks Christos G. Cassandras, Sepideh Pourazarm, Jing Zhang, Ioannis Ch. Paschalidis

In earlier work (Zhang et al., 2016) we used actual traffic data from theEastern Massachusetts transportation network in the form of spatial averagespeeds and road segment flow capacities in order to estimate...

Jupyter

Multi Car Parking

16/02/2019
3 months ago

Multi Car and High Density Parking Coodination

Python

Face and Pedestrian Detection Dataset

FEEDS: Detection dataset designed for Integrated Detection Method of Pedestrian and Face

Iros2017 pedestrian forecasting

The implementation of the algorithm from our 2017 IROS paper.

Pedestrian faster rCNN

Pytorch

Pedestrian sensing model

Generation of a pedestrian density map using ground-level images.

Maas

MAAS: Multi modal Assignation for Active Speaker Detection Bernard Ghanem, Ali Thabet, Fabian Caba Heilbron, Juan León-Alcázar

Active speaker detection requires a solid integration of multi-modal cues. While individual modalities can approximate a solution, accurate predictions can only be achieved by explicitly fusing the audio...

COVID19 Urban Sentiment Analysis

Pytorch

06/07/2020
4 months ago

Arabic and English data analysis on the first weeks of COVID 19 quarantine with sentiment analysis and analyzing social media activity with respect to urban features of the governorates in Egypt.

Jupyter
Python

analysis arabic covid datascience egypt nlp sentiment urban

Cenuno.Github.Io

06/02/2017
4 months ago

Urban Data Science: Using Open Source Tools to Study Urban Life

Html

chicago leaflet open-data open-source r rstudio shiny shiny-apps urban

Parking Spot Search

01/03/2020
8 months ago

Matlab

CarParkingDetection Contest

Used for Car parking detection using Yolo v3 and Darkflow TFNet model

Find parking in video

Applying image classification for finding available parking in real time

Pedestrian trajectory tracker

FairMOT: On the Fairness of Detection and Re Identification in Multiple Object Tracking Wen-Jun Zeng, Yifu Zhang, Wenyu Liu, Xinggang Wang, Chunyu Wang

Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object detection and re-ID in a single network is...

Tensorflow

3D Pedestrian Localization 2021ComputerVision

Unsupervised Monocular Depth Estimation with Left Right Consistency Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow

Learning based methods have shown very promising results for the task ofdepth estimation in single images. However, most existing approaches treatdepth prediction as a supervised regression problem and...

Pytorch

Pedestrian detection pub

Self Driving car vision package

PedestrianIQA

Robustness Analysis of Pedestrian Detectors for Surveillance Yuming Fang, Haiwen Liu, Yuan Yuan, Weisi Lin, Guanqun Ding

To obtain effective pedestrian detection results in surveillance video, therehave been many methods proposed to handle the problems from severe occlusion,pose variation, clutter background, \emph{etc}...

MaastrichtAI nbdt

explainalbe AI

Indiacensus

12/10/2019
7 months ago

India Census data analysis.

Jupyter
Python

analysis census data data-visualization disabled-people education gender india india-census rural sex-ratio urban worker

Citygml2ucp

16/03/2018
2 years ago

Derive urban canopy parameters from CityGML data

Java

citygml citygml4j urban

100

Osm planning tool

17/05/2019
2 years ago

OpenReblock is a collaborative research project that aims to develop community driven planning tools for slum dwellers.

Vilnius public transport passengers traffic analysis

development international open openstreetmap osm planning shiny slum source urban

101

04/07/2018
1 years ago

Analysis of Vilnius city public transport passengers traffic data

Jupyter
Python

data-analysis public public-transportation

102

Navitia graphql

03/04/2018
2 years ago

A GraphQL overlay of Navitia to build cool stuff with locomotion

Javascript

graphql navitia public

103

Greenvision nec

09/08/2019
1 years ago

App Name: GreenVision, Code for NEC Hackathon: Transport

Javascript

hackathon nec public public-transportation react react-native redux redux-thunk

104

BusDemand

28/11/2021
2 months ago

BusDemand is a software capable of analyzing a set of urban bus routes in a given city based on a scientific model. This software simulates a set of urban trips and optimizes these trips using the stops of buses and itineraries in the city of Limeira, SP, Brazil.

Java

Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems

analysis graduation graduation-project graph modeling optimization passenger public public-transportation public-transport-networks routes urban

105

TransportationGovernance

15/06/2021
9 months ago

Models focusing on interactions between land-use and transportation mostly assume an exogenous provision of transportation infrastructures. We investigate here co-evolutionary processes between land-use...

Netlogo

106

TransportationEquilibrium

28/04/2015
1 years ago

Tex

107

SPFCN ParkingSlotDetection

108

Naples Parking Function

13/08/2019
2 years ago

Jupyter

109

Pparking

110

Hazy parking system

111

Parking estimate

Estimating savings in parking demand using shared vehicles for home work commuting Carlo Ratti, Paolo Santi, Remi Tachet, Hongmou Zhang, Dániel Kondor

The increasing availability and adoption of shared vehicles as an alternative to personally-owned cars presents ample opportunities for achieving more efficient transportation in cities. With private cars...

112

PedestrianAttention

Rich feature hierarchies for accurate object detection and semantic segmentation Jeff Donahue, Ross Girshick, Trevor Darrell, Jitendra Malik

conference

Realtime Multi Person 2D Pose Estimation using Part Affinity Fields Shih-En Wei, Zhe Cao, Tomas Simon, Yaser Sheikh

We present an approach to efficiently detect the 2D pose of multiple peoplein an image. The approach uses a nonparametric representation, which we referto as Part Affinity Fields (PAFs), to learn to associate...

conference

Fast R CNN Ross Girshick

This paper proposes a Fast Region-based Convolutional Network method (FastR-CNN) for object detection. Fast R-CNN builds on previous work to efficientlyclassify object proposals using deep convolutional...

conference

DensePose: Dense Human Pose Estimation In The Wild Iasonas Kokkinos, Natalia Neverova, Riza Alp Güler

In this work, we establish dense correspondences between RGB image and asurface-based representation of the human body, a task we refer to as densehuman pose estimation. We first gather dense correspondences...

conference

Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks Kaiming He, Shaoqing Ren, Ross Girshick, Jian Sun

Helsinki pedestrian crossing detection

113

Fast R CNN Ross Girshick

conference

Rich feature hierarchies for accurate object detection and semantic segmentation Jeff Donahue, Ross Girshick, Trevor Darrell, Jitendra Malik

conference

Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks Kaiming He, Shaoqing Ren, Ross Girshick, Jian Sun

114

Pedestrian Model

A stochastic cellular automata (CA) model of pedestrian flow is considered here. Numerical solution of the wave equation by finite-difference methods https://arxiv.org/abs/0906.4265

115

Triplet based Deep Similarity Learning for Person Re Identification Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn

In recent years, person re-identification (re-id) catches great attention inboth computer vision community and industry. In this paper, we propose a newframework for person re-identification with a triplet-based...

Pytorch

116

Uwb radar pedestrian tracking

Implemented a self-driving car in GTAV with computer vision

117

Pedestrian direction

Virtual to Real Reinforcement Learning for Autonomous Driving Ziyan Wang, Yurong You, Cewu Lu, Xinlei Pan

Reinforcement learning is considered as a promising direction for drivingpolicy learning. However, training autonomous driving vehicle withreinforcement learning in real environment involves non-affordabletrial-and-error...

118

Multi Static UWB Radar based Passive Human Tracking Using COTS Devices Wout Joseph, Eli de Poorter, Gaurav Singh, Jac Romme, Luc Martens, Jaron Fontaine, Emmeric Tanghe, Chenglong Li

Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization. Instead of active positioning, UWB radar-based passive human tracking...

119

Pedestrian count

120

Pedestrian intent estimation

Pedestrian Intent Estimation using Pose Estimation

121

A pure number to assess congestion in pedestrian crowds

The data and codes to reproduce the results reported in our manuscript submitted to TRB (2021).

122

Pedestrian awareness

OpenPose: Realtime Multi Person 2D Pose Estimation using Part Affinity Fields Shih-En Wei, Gines Hidalgo, Zhe Cao, Tomas Simon, Yaser Sheikh

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

YOLOv3: An Incremental Improvement Ali Farhadi, Joseph Redmon

Pytorch

123

Pedestrian count covid 19

Analysis of pedestrian activity before and during COVID 19 lockdown, using webcam time lapse from Cracow and machine learning Robert Szczepanek

At the turn of February and March 2020, COVID-19 pandemic reached Europe. Many countries, including Poland imposed lockdown as a method of securing social distance between potentially infected. Stay-at-home...

124

Pedestrian in few shots

Simple Online and Realtime Tracking with a Deep Association Metric Alex Bewley, Nicolai Wojke, Dietrich Paulus

Simple Online and Realtime Tracking (SORT) is a pragmatic approach tomultiple object tracking with a focus on simple, effective algorithms. In thispaper, we integrate appearance information to improve...

Towards a Neural Statistician Amos Storkey, Harrison Edwards

An efficient learner is one who reuses what they already know to tackle a newproblem. For a machine learner, this means understanding the similaritiesamongst datasets. In order to do this, one must take...

Pytorch

125

FCOS Pedestrian Detection

Autonomous Car in GTA 5

126

127

Pedestrian Instance Segmentation

Detecting pedestrian in image using intel openvino pre-trained model on edge

128

Instance Segmentation of the Penn-Fudan Dataset.

129

Pedestrian attributes benchmark and results

a collection of public pedestrian attribute benchmark and papers

130

Smartcity competition

Action Recognition

Pytorch

131

SmartCities

132

Smartcities

Optimal Installation of Wireless Charging Lanes

133

Data

21/12/2020
1 years ago

Arquivos CSV com informaes capturadas durante o projeto.

Urban Data Science Curriculum Development

climatempo cptm csv data gtsf sao-paulo sptrans tickets4fun transitfeed urban urban-transportation

134

18/06/2018
3 years ago

Instrutors: Shaily R Gandhi, Felix Emeka Anyiam, Vikram Sorathia

data science urban

135

Urban population

10/11/2019
2 years ago

Data visualization of urban populations

Javascript

continents data-visualization urban

136

Satellite

16/03/2020
1 years ago

Use Sentinel satellite data, to...

Python

Availability of parking in Switzerland in 2015

classification rasters satellite sentinel-satellite-data urban

137

Macau opendata

19/07/2020
1 years ago

Urban data in Macau retrieved by API / crawling. Implemented by Python, easy to understand, modify, and extend!

Python

crawling macau urban

138

17/06/2019
6 months ago

Computes the availability of parking spaces at home and at work in 2015 in Switzerland, by agglomeration size and by level of urbanisation, based on the data of the Transport and Mobility Microcensus

Python

cars population rural statistics suburbs urban urbanization

139

Liesbeek River isotopics

10/06/2018
3 months ago

Open access repository for data sets and analyses for my first publication, "Isotopic tracing of stormwater in the urban Liesbeek River" in Water SA 44(4):674 679

Creative Commons Attribution 4.0

academic ggplot2 hydrology isotopes open-science rstats stable-isotopes tidyverse urban urban-rviers water-resources

140

Spatio Temporal Analysis Urban and Suburban Population

14/04/2020
1 years ago

This project is the final assignment in the course Analysis of Spatial Temporal Data given during the winter semester at the Institute of Geoinformatics, Muenster.

Html