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City Scale Challenges
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code
description / paper / conference
language
framework
framework
license
tags
1
Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)
Pytorch
2
TransportationNetworks
12/03/2016
this week
this week
Transportation Networks for Research
Jupyter
dataset networks traffic
3
A simple baseline for pedestrian attribute recognition in surveillance scenariOS
Pytorch
5
Pedestrian Alignment Network for Large scale Person Re identification
Person re-identification (person re-ID) is mostly viewed as an imageretrieval problem. This task aims to search a query person in a large imagepool. In practice, person re-ID usually adopts automatic detectors...
6
UrbanNavDataset
28/06/2020
1 week ago
1 week ago
UrbanNav: anOpen Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
7
a solid and strong baseline of pedestrian attribute recognition
Pytorch
8
Awesome parking slot detection
20/11/2019
this week
this week
Papers and codes about parking slot detection
parking-lot-detection parking-slot-detection
9
UrbanLoco
29/01/2020
this week
this week
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
Python
11
Pedestrian Synthesis GAN: Generating Pedestrian Data in Real Scene and Beyond
State-of-the-art pedestrian detection models have achieved great success inmany benchmarks. However, these models require lots of annotation informationand the labeling process usually takes much time...
Pytorch
12
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
26/01/2018
this week
this week
Deep learning for decentralized parking lot occupancy detection
A smart camera is a vision system capable of extracting application-specific information from the captured images. The paper proposes a decentralized and efficient solution for visual parking lot occupancy...
homepagePython
Caffe
Caffe
cnn-classification image-classification pycaffe
14
NOH NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will potentially lead to a lower recall rate and a higher threshold introduces more false positives. This problem is more severe in pedestrian...
Pytorch
15
Urbansprawl
01/12/2017
1 month ago
1 month ago
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
Python
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
16
Attentional graph neural network for parking slot detection
24/11/2020
this week
this week
Attentional Graph Neural Network for Parking slot Detection
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
Pytorch
17
Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection
18
NeTEx
04/10/2017
2 weeks ago
2 weeks ago
NeTEx is a CEN Technical Standard for exchanging Public Transport schedules and related data.
cen exchange netex public schema timetable xsd
20
SPFCN: Select and Prune the Fully Convolutional Networks for Real time Parking Slot Detection
17/04/2020
this week
this week
SPFCN: Select and Prune the Fully Convolutional Networks for Real time Parking Slot Detection
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
Pytorch
21
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
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
22
Pedestrian Detection in Thermal Images using Saliency Maps
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
23
POMDP formulation of a pedestrian avoidance problem for autonomous driving
24
DETR for Crowd Pedestrian Detection
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
25
Transportation Mode Detection with Unconstrained Smartphones Sensors
16/06/2017
1 month ago
1 month ago
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity
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
context-awareness internet-of-things neural-networks random-forest
26
Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks
Rich feature hierarchies for accurate object detection and semantic segmentation
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,...
conferenceRich feature hierarchies for accurate object detection and semantic segmentation
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...
conferenceTensorflow
27
Rich feature hierarchies for accurate object detection and semantic segmentation
Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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...
conferenceFaster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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,...
conferenceTensorflow
28
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
In Defense of the Triplet Loss for Person Re Identification
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
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
29
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.
27/05/2019
this week
this week
M2Det: A Single Shot Object Detector based on Multi Level Feature Pyramid Network
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
Pytorch
computer-vision neural-networks object-detection
30
LYTNet: A Convolutional Neural Network for Real Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
Street Crossing Aid Using Light weight CNNs for the Visually Impaired
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
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
32
Intelligent transportation system
25/05/2020
this week
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
keras-tensorflow multi-object-tracking object-detection semantic-segmentation traditional-computer-vision
33
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio Temporal Attention
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
34
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio Temporal Attention
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
35
Semi Supervised Hierarchical Recurrent Graph Neural Network for City Wide Parking Availability Prediction
04/05/2020
4 weeks ago
4 weeks ago
Semi Supervised Hierarchical Recurrent Graph Neural Network for City Wide Parking Availability Prediction
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
Pytorch
graph-neural-networks parking-availability-prediction semi-supervised-learning spatial-temporal-forecasting urban-computing
36
Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"
37
Global indicators
16/04/2019
1 week ago
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
accessibility city city-government health public-health public-transportation transportation-network urban urban-design urban-planning
38
ArXiv 2011.00413: (MATLAB Simulation) Collision Avoidance in Tightly Constrained Environments without Coordination: a Hierarchical Control Approach.
22/06/2020
3 weeks ago
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
39
PyCity
06/03/2015
4 months ago
4 months ago
Python package for data handling and scenario generation of city districts
Python
40
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
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
42
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
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
43
AdvancedTrafficSim
06/06/2017
1 years ago
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.
C#
44
Source code for paper "Localization Guided Learning for Pedestrian Attribute Recognition" (BMVC 2018)
45
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
46
Anchor free Small scale Multispectral Pedestrian Detection
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...
47
A Real Time Predictive Pedestrian Collision Warning Service for Cooperative Intelligent Transportation Systems Using 3D Pose Estimation
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
48
Public transport victoria
25/07/2020
3 weeks ago
3 weeks ago
Custom component for retrieving departure times for Public Transport Victoria.
Python
49
Librebike.Github.Io
16/06/2018
2 years ago
2 years ago
Upcycling left behind oBikes.
Html
bike bikesharing libre obike open public utilities
50
Source files for our regularization paper!
15/11/2017
5 months ago
5 months ago
Regularization via Mass Transportation
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...
homepageJupyter
51
Code and Resources for our paper "Virtual to Real adaptation of Pedestrian Detectors" - https://www.mdpi.com/1424-8220/20/18/5250
Pytorch
52
YOLOv3: An Incremental Improvement
Simple Online and Realtime Tracking
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
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...
53
Parking Lot Occupancy Detection in Pytorch (http://cnrpark.It)
17/06/2020
3 months ago
3 months ago
Deep learning for decentralized parking lot occupancy detection
A smart camera is a vision system capable of extracting application-specific information from the captured images. The paper proposes a decentralized and efficient solution for visual parking lot occupancy...
Python
Pytorch
Pytorch
55
GraphCNN + LSTM for city level parking prediction
02/02/2019
5 months ago
5 months ago
A deep learning approach to real time parking occupancy prediction in spatio temporal networks incorporating multiple spatio temporal data sources
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
Pytorch
56
Official implementation for paper "Model based Decision Making with Imagination for Autonomous Parking"
08/12/2017
1 week ago
1 week ago
Model based Decision Making with Imagination for Autonomous Parking
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++
57
A Richly Annotated Dataset for Pedestrian Attribute Recognition
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
58
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
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
59
A minimal Pytorch implementation of YOLOv3, with support for training, inference and evaluation adapted for Pedestrian detection and made compatible with the ECP Dataset
60
Asymmetrical Bi RNN for pedestrian trajectory encoding
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
62
Official repository for the "Image Based Parking Space Occupancy Classification: Dataset and Baseline" paper.
25/07/2021
1 month ago
1 month ago
Image Based Parking Space Occupancy Classification: Dataset and Baseline
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
Pytorch
63
A computer vision project to predict pedestrian crossing intention
64
Predicting Airbnb prices with machine learning and location data
19/09/2019
5 months ago
5 months ago
Repo for: Predicting Airbnb prices IBM's Data Science Professional Certificate Capstone
Html
Python
Python
67
Oasis frontend
04/07/2017
1 month ago
1 month ago
Linked Data for more discoverable public transport services
Typescript
data linked public
68
Stadtnavi app
21/04/2021
3 months ago
3 months ago
The model project for networked mobility in Herrenberg
Dart
public
69
Parking Management System
18/03/2021
2 weeks ago
2 weeks ago
Real time object detection method based on improved YOLOv4 tiny
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
Tensorflow
70
Car parking
13/04/2019
5 months ago
5 months ago
Mask R CNN
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...
conferenceJupyter
71
Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
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
72
Semester Project at VITA Lab, EPFL - Supervised by Prof. Alexandre Alahi, Saeed Saadatnejad
Pytorch
74
Network learning via multi agent inverse transportation problems
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
75
A parameter free mechanistic model of the adhesive wear process of rough surfaces in sliding contact
Crack Nucleation in the Adhesive Wear of an Elastic Plastic Half Space
A Fourier accelerated volume integral method for elastoplastic 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...
76
A Text Embedding based Approach to Measure Patent to Patent Technological Similarity Workflow, Code, and Applications
Introduction to Rare Event Predictive Modeling for Inferential Statisticians A Hands On Application in the Prediction of Breakthrough Patents
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
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...
77
Surf
03/06/2015
1 years ago
1 years ago
Simulating Urban Flows. A project for the grant 'Understanding Urban Movements through Big Data and Social Simulation'.
Html
Java
Java
79
This is the public repository for the "No collision Transportation Maps" paper.
15/11/2019
1 years ago
1 years ago
No collision Transportation Maps
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
81
Data Driven Price of Anarchy Estimation using Inverse Optimization
16/06/2018
4 months ago
4 months ago
Data Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi Class Transportation Networks
Data driven Estimation of Origin Destination Demand and User Cost Functions for the Optimization of Transportation Networks
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
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
83
FEEDS: Detection dataset designed for Integrated Detection Method of Pedestrian and Face
87
MAAS: Multi modal Assignation for Active Speaker Detection
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...
conferencePytorch
88
COVID19 Urban Sentiment Analysis
06/07/2020
4 months ago
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
Python
89
Cenuno.Github.Io
06/02/2017
4 months ago
4 months ago
Urban Data Science: Using Open Source Tools to Study Urban Life
Html
93
FairMOT: On the Fairness of Detection and Re Identification in Multiple Object Tracking
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
94
Unsupervised Monocular Depth Estimation with Left Right Consistency
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...
conferencePytorch
96
Robustness Analysis of Pedestrian Detectors for Surveillance
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}...
98
Indiacensus
12/10/2019
7 months ago
7 months ago
India Census data analysis.
Jupyter
Python
Python
analysis census data data-visualization disabled-people education gender india india-census rural sex-ratio urban worker
100
Osm planning tool
17/05/2019
2 years ago
2 years ago
OpenReblock is a collaborative research project that aims to develop community driven planning tools for slum dwellers.
R
101
Vilnius public transport passengers traffic analysis
04/07/2018
1 years ago
1 years ago
Analysis of Vilnius city public transport passengers traffic data
Jupyter
Python
Python
102
Navitia graphql
03/04/2018
2 years ago
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
1 years ago
App Name: GreenVision, Code for NEC Hackathon: Transport
Javascript
104
BusDemand
28/11/2021
2 months ago
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
analysis graduation graduation-project graph modeling optimization passenger public public-transportation public-transport-networks routes urban
105
TransportationGovernance
15/06/2021
9 months ago
9 months ago
Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems
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
109
111
Estimating savings in parking demand using shared vehicles for home work commuting
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
Rich feature hierarchies for accurate object detection and semantic segmentation
Realtime Multi Person 2D Pose Estimation using Part Affinity Fields
Fast R CNN
DensePose: Dense Human Pose Estimation In The Wild
Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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...
conferenceRealtime Multi Person 2D Pose Estimation using Part Affinity Fields
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...
conferenceFast R CNN
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...
conferenceDensePose: Dense Human Pose Estimation In The Wild
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...
conferenceFaster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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,...
conference113
Fast R CNN
Rich feature hierarchies for accurate object detection and semantic segmentation
Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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...
conferenceRich feature hierarchies for accurate object detection and semantic segmentation
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...
conferenceFaster R CNN: Towards Real Time Object Detection with Region Proposal Networks
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,...
conference114
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
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
117
Virtual to Real Reinforcement Learning for Autonomous Driving
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
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...
121
The data and codes to reproduce the results reported in our manuscript submitted to TRB (2021).
122
OpenPose: Realtime Multi Person 2D Pose Estimation using Part Affinity Fields
YOLOv3: An Incremental Improvement
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
YOLOv3: An Incremental Improvement
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...
Pytorch
123
Analysis of pedestrian activity before and during COVID 19 lockdown, using webcam time lapse from Cracow and machine learning
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
Simple Online and Realtime Tracking with a Deep Association Metric
Towards a Neural Statistician
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
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
129
a collection of public pedestrian attribute benchmark and papers
131
134
Urban Data Science Curriculum Development
18/06/2018
3 years ago
3 years ago
Instrutors: Shaily R Gandhi, Felix Emeka Anyiam, Vikram Sorathia
137
Macau opendata
19/07/2020
1 years ago
1 years ago
Urban data in Macau retrieved by API / crawling. Implemented by Python, easy to understand, modify, and extend!
Python
138
Availability of parking in Switzerland in 2015
17/06/2019
6 months ago
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
139
Liesbeek River isotopics
10/06/2018
3 months ago
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
R
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
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
141
CityForAll
12/11/2020
1 years ago
1 years ago
This is my first HTML & CSS practice. It is a website dedicated to socio spatial & urban justice. Hopefully, I will apply data science and more interactions in the future.
Html
143
Toolbox for pd up office
04/11/2020
1 years ago
1 years ago
Set of Python toolbox for urban planning analysis and certifications
Python
144
Ptapi
18/08/2017
4 years ago
4 years ago
Realtime public transport API for Timisoara
api php public realtime timisoara
145
Niebieskie tramwaje
28/03/2019
2 years ago
2 years ago
Android app for Wrocaw Public Transportation System
Kotlin
android mpk public wroclaw
146
Madrid metro adjacency list
26/01/2017
1 years ago
1 years ago
Adjacency list from the Madrid metro system and a graph analysis from it.
Jupyter
adjacency graph madrid metro public spain tube underground
147
Metrosp status cli
12/08/2017
2 years ago
2 years ago
A real time CLI for MetroSP status
Javascript
brasil cptm gov metro metrosp public real-time sp status
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