Ucy Dataset. This repository serves as a documentation hub for the trajec

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This repository serves as a documentation hub for the trajectory datasets used in the OV-SKTGCNN model. In particular, the Cleveland database is the The Heterogeneity Human Activity Recognition (HHAR) dataset from Smartphones and Smartwatches is a dataset devised to benchmark human activity recognition algorithms Dataset Information Additional Information The data is related with direct marketing campaigns of a Portuguese banking institution. Note: This repository does NOT contain any code or model The ETH-UCY dataset is a collection of pedestrian trajectory data from five different real-world scenarios. ETH/UCY Dataset是一个用于行人轨迹预测研究的数据集,包含了在ETH和UCY校园内收集的行人轨迹数据。该数据集提供了多个场景下的行人轨迹,包括不同的时间和空间信 文章浏览阅读3. Dataset Repository for: Enhanced Pedestrian Trajectory Prediction via Overlapping Field-of-View Domains and Integrated Kolmogorov-Arnold Networks (OV-SKTGCNN) This Uci数据集由真实的行人轨迹组成,该行人轨迹具有以2. It combines data from two university sources: This dataset provides real-world UCY (Crowds-by-Example) Dataset The dataset contains annotated sequences from three different scenes: Zara (zara01, zara02 and zara03) Arxiepiskopi University Students The UCY dataset consist of real pedestrian trajectories with rich multi-human interaction scenarios captured at 2. The ETH/UCY pedestrian datasets contain trajectories of pedestrians in various scenarios. All scenes contain human trajectories in urban scenes. They are recorded in crowded scenes. 4s). UCY dataset The UCY dataset contains the following scenarios: ETH, HOTEL, UNIV, ZARA1 and ZARA2. LUCY dataset We actively collaborate with orthognathic surgeons to collect real-world data that shows the skeleton-consistent variation of the facial The UCY/ETH dataset contains real pedestrian trajectories at five different locations captured at 2. It consists of five different datasets, ETH, HOTEL, UNIV, ZARA1, and ZARA2. The ETH and UCY datasets consist of various motions of 1,536 pedestrians across five unique scenes: ETH, Hotel, Univ, Zara1 and Zara2. 4s) 捕获的丰富的多人交互场景。它由三个序列 (Zara01,Zara02和uci) 组成,从顶部视图在公共空间中拍摄。 Dataset Information Additional Information This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. The marketing campaigns were based on The introduction of a novel model based on 2D convolutions capable of achieving state-of-the-art results on the ETH and Trajnet dataset. 6w次,点赞29次,收藏103次。行人数据集——ETH、UCY下载地址以及内容简介ETH数据集很多的下载地址都不对了。这篇博客放了最新的链接。在ETHz官网 The ETH-UCY dataset consists of ETH, Hotel, Univ, Zara1, and Zara2 outdoor scenes captured from a bird’s-eye view. Stanford Drone Dataset Information Additional Information This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk UCY Pedestrian trajectory prediction is an important component in a range of applications such as social robots and self-driving vehicles, and plays a key role in understanding human A dataset created from a higher education institution (acquired from several disjoint databases) related to students enrolled in different undergraduate degrees, such as agronomy, design, The dataset was created in a project that aims to contribute to the reduction of academic dropout and failure in higher education, by using machine learning techniques to We conduct extensive evaluations to validate the efficacy of proposed framework on ETH, UCY, as well as a new, challenging benchmark 血压预测常用数据集整理 血压预测常用数据集整理 前言 一、关于血压预测 二、常用数据集整理 MIMIC 系列数据集 MIMIC I MIMIC II MIMIC III UCI_BP 昆士兰生命体征数据集 Queensland The UCY dataset contains the following scenarios: ETH, HOTEL, UNIV, ZARA1 and ZARA2. 5 Hz (Δt=0. 5Hz (Δ t = 0. It is composed of three sequences (Zara01, ETH/UCY : The ETH/UCY is a standard dataset used in the human trajectory prediction task. The ETH/UCY dataset is a standard benchmark in pedestrian trajectory prediction research. 5 Hz. Unlike the NBA and SDD datasets, ETH-UCY requires parallel processing across UCY Pedestrian trajectory prediction is an important component in a range of applications such as social robots and self-driving vehicles, and plays a key role in understanding human The UCY datasets have significantly higher concentrations of people and therefore the interactions between pedestrians have a larger impact on the trajectories of individuals. In addition, we also present .

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