To this end, we created an open-source, anonymized, metropolitan scale, and longitudinal (75 days) dataset of 100,000 individuals' human mobility trajectories, using mobile phone location data provided by Yahoo Japan Corporation (currently renamed to LY Corporation), named YJMob100K. The location...
To this end, we created an open-source, anonymized, metropolitan scale, and longitudinal (75 days) dataset of100,000individuals' human mobility trajectories, usingmobile phone location data provided byYahooJapan Corporation (currently renamed to LY Corporation), named YJMob100K. The location pings ...
AccuCities and apply for other city models. At the time of release, the unit of the HoliCity CAD model was meter. However, it recently was changed to millimeters. ReadIssue 13if you try to render the CAD model and have mis-matching issues between the HoliCity CAD model and this dataset....
This LiDAR dataset of downtown Boulder, CO is streamed as 3D Tiles and fused with Cesium World Terrain. The source data was captured by a group of volunteers taking pictures of the area with their smartphones. The resolution is so high, even the sign on the street corner is legibile. T...
trajectories at a city-scale level holds great potential for various research directions and downstream applications. Its availability of unbiased, full-amount data is expected to yield compelling research findings and more robust management strategies. Here are some potential tasks that this dataset can...
The dataset used in this study has 300 thousand users with a duration of a month. ACM Reference format: Fahad Alhasoun, May Alhazzani, Faisal Aleissa, Riyadh Alnasser, and Marta González. 2017. City Scale Next Place Prediction from Sparse Data through Similar Strangers. In Proceedings of ...
摘要: We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3times10关键词: image matching image retrieval trees (mathematics) city-scale location recognition feature ...
For building and benchmarking the system, we curated a dataset which has annotations required for road defects. However, many of the labels required for road audit have high ambiguity which we overcome by proposing a label hierarchy. We also propose a multi-step deep learning model that ...
A computationally effective way is to normalize each dataset separately. In this case, we normalize the traffic system with respect to the time steps t = 1…T and calculate: $${A}_{drive}=\frac{{\sum }_{v=1}^{V}\,{\sum }_{t=1}^{T}\,{T}_{v,ij,t}^{dur}}{V\cdot...
🏙️GRScenes, the scene dataset, includes 100k interactive, finely annotated scenes, which can be freely combined into city-scale environments. In contrast to previous works mainly focusing on home, GRScenes covers 89 diverse scene categories, bridging the gap ofservice-oriented environmentswhere ...