When, where and how does it fail? a spatial-temporal visual analytics approach for interpretable object detection in autonomous driving

J Wang, Y Li, Z Zhou, C Wang, Y Hou… - … on Visualization and …, 2022 - ieeexplore.ieee.org
Arguably the most representative application of artificial intelligence, autonomous driving
systems usually rely on computer vision techniques to detect the situations of the external …

Text visualization for geological hazard documents via text mining and natural language processing

Y Ma, Z Xie, G Li, K Ma, Z Huang, Q Qiu, H Liu - Earth Science Informatics, 2022 - Springer
An increasing number of geological hazard documents about the mechanism and
occurrence process of geological disasters contain unstructured geoscientific data that are …

Visual exploration of urban functional zones based on augmented nonnegative tensor factorization

L Liu, H Zhang, J Liu, S Liu, W Chen, J Man - Journal of Visualization, 2021 - Springer
A city contains a variety of different urban functions with referring to the purpose of land use
to support the diverse needs of urban residents, such as residence, working and recreation …

Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis

Y Tao, Y Tang - Journal of Visualization, 2023 - Springer
Urban traffic data records people's individual movement and behavioral histories, which
implies underlying human mobility patterns. How to effectively mine this pattern is the key to …

Spatio-temporal visual analysis for urban traffic characters based on video surveillance camera data

H Zou, K Cao, C Jiang - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
Urban road traffic spatio-temporal characters reflect how citizens move and how goods are
transported, which is crucial for trip planning, traffic management, and urban design. Video …

Visual Analysis Method for Traffic Trajectory with Dynamic Topic Movement Patterns Based on the Improved Markov Decision Process

H Chen, Y Wu, H Tang, J Lei, G Wang, W Zhao, J Liao… - Electronics, 2024 - mdpi.com
The visual analysis of trajectory topics is helpful for mining potential trajectory patterns, but
the traditional visual analysis method ignores the evolution of the temporal coherence of the …

面向警情数据的交互式可视分析方法

宁辛雨, 孙国道, 金露, 丁伟杰, 梁荣华 - 计算机辅助设计与图形学学报, 2023 - jcad.cn
警情数据的分析和挖掘是公安部门信息工作的核心环节, 数据具有时空分布不均匀,
信息记录高冗余和文本内容难关联等特点, 导致现有信息工作中存在人工分析效率低 …

Hierarchical mining algorithm for high dimensional spatiotemporal big data based on association rules

C Zhou, X Dong, L Ji, B Zhang, Z Xu… - E3S Web of …, 2021 - e3s-conferences.org
The traditional data mining algorithm focuses too much on a single dimension of data time or
space, ignoring the association between time and space, which leads to a large amount of …

Effectiveness evaluation method for traffic data acquisition based on vehicle-borne network

M Song, B Wu, R Li - International Journal of Vehicle …, 2022 - inderscienceonline.com
In order to reduce the probability of traffic accidents and enhance the safety of vehicle traffic,
a method for evaluating the effectiveness of traffic data collection based on vehicle network …

[PDF][PDF] Survey on spatio-temporal transportation using deep convolution network for traffic flow

TK Gawali, SS Deore - J Data Acquis Process, 2023 - sjcjycl.cn
Spatio-temporal transportations have various issues like traffic congestion, weather and
wind direction. The measure problem is to prevent from traffic based accidents. The traffic …