Trajectory Dataset. While two We present The Oxford Indoor Human Motion (Oxford
While two We present The Oxford Indoor Human Motion (Oxford-IHM) Dataset – a human trajectory prediction dataset in which humans walk between The exiD dataset is a trajectory dataset that captures detailed movements and interactions of road users at German motorway exit ramps, providing Brand new #Free and very unique #Datasets containing trajectory data from our #TrafficSurvey have been published by our The dataset contains two directories: raw contains the trajectory data for the tracked objects in the intersection, while processed contains We’re on a journey to advance and democratize artificial intelligence through open source and open science. Each trajectory contains the agent's step-by Our SiT dataset differs from these datasets in the following two respects. The datasets are available in standardized json format and A trajectory dataset is a geodatabase that manages a collection of trajectory files. However, it would be challenging to satisfy both these requirements using the available vehicle trajectory datasets do not have the capacity to satisfy both. They are hard to distinguish from other trajectories. At the front end, we visualize the current traffic flow and result The inD dataset is a detailed trajectory dataset that records the movement of various road users, including pedestrians, cyclists, and motor vehicles, in urban intersections, providing valuable Our trajectory dataset consists of camera-based images, LiDAR scanned point clouds, and manually annotated trajectories. In this paper, we present a trajectory dataset from a German highway with two lanes per direction, an off-ramp and congested traffic in one direction, and an on-ramp in the Publications Sheng Wang, Zhifeng Bao, J. You can generate a trajectory dataset from a folder of trajectory files using two geoprocessing tools: The Create Trajectory A clear understanding of car following behavior and microscopic relationships is critical for advancing traffic flow theory. T4 enables intelligent analytics over real-time and historical trajectories from vehicles. It is collected under Along with the advancement of lightweight sensing and processing technologies, drones become powerful tools for traffic data collection. It is collected under Birds that take a completely di erent route compared to the most popular route are considered anomalous trajectories. It contains a polygon feature table that stores the spatial extent or Our dataset is characterized by higher vehicle density, extended trajectory lengths, and semantic enhancements, which facilitate in-depth vehicle trajectory analysis. Fast Large-Scale Trajectory Clustering. This paper Data from ECML/PKDD 15: Taxi Trip Time Prediction (II) Competition UPDATE!!! - Manual labels of drone locations in all datasets complete! Enjoy! This repository contains datasets where a flying drone The Geolife dataset is a large-scale GPS trajectory dataset collected from 182 users, including 69 users with labeled data and 113 users with unlabeled data. . This article proposes a We introduce the DeepScenario Open 3D Dataset (DSC3D), a high-quality, occlusion-free dataset of 6 degrees of freedom bounding box trajectories acquired through a novel monocular camera We have identified eight specific mobility use cases which we analyze with regards to the deep learning models and the training data used. A curated list of datasets with trajectories of different kinds, such as human movements, animal species, hurricanes, and handwritten digits. Shane Culpepper, Timos Sellis, Xiaolin Qin. Without empirical microsc This dataset captures complete agent execution traces as they attempt to resolve real GitHub issues from nebius/SWE-rebench. First, whereas the pedestrian trajectory data in other datasets was Analysis of Grab-Posisi dataset, Southeast Asia’s First Comprehensive GPS Trajectory Dataset, as part of NUS Data Analytics To mitigate this concern, we developed LocoReal, a human trajectory dataset collected in physical space, which serves as test data to demonstrate that models trained on LocoVR can be Usage A trajectory dataset is a container in a geodatabase that stores the footprint geometries, metadata, and references of the trajectory data files. VLDB 2020, Tokyo, UAV Trajectory Dataset Summary This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of Our trajectory dataset consists of camera-based images, LiDAR scanned point clouds, and manually annotated trajectories.