Results 61 to 70 of about 2,071 (151)
Deep Learning Approaches for Effective Fog Detection
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper presents an innovative system for detecting foggy road scenarios and classifying visibility levels to provide timely alerts to drivers, thereby enhancing road safety. The authors introduce two new image datasets, Foggy‐Ceit 2023 and an extended Foggy CityScapes – DBF, and evaluate the performance of classical vision techniques and deep ...
Olatz Iparraguirre +3 more
wiley +1 more source
Enhanced free space detection in multiple lanes based on single CNN with scene identification
, 2019 Many systems for autonomous vehicles' navigation rely on lane detection. Traditional algorithms usually estimate only the position of the lanes on the road, but an autonomous control system may also need to know if a lane marking can be crossed or not ...
García, Fernando, Pizzati, Fabio
core +1 more source
GeoHealth, Volume 9, Issue 7, July 2025.Abstract Tuberculosis (TB) remains a critical public health issue, particularly in regions with significant socio‐economic disparities. This study provides a comprehensive spatial analysis of TB dynamics in Şanlıurfa, Türkiye, covering the period from 2016 to 2023. Utilizing Geographic Information Systems, epidemiological data, and advanced statistical
M. Çelik +6 more
wiley +1 more source
Transactions in GIS, Volume 29, Issue 1, February 2025.ABSTRACT Street View Imagery (SVI) is crucial for urban environmental audits. Although Volunteered Street View Imagery (VSVI) has the potential to provide higher spatial and temporal resolution than traditional SVI, the use of such user‐generated data is currently limited by the inherent spatial heterogeneity in contributions and unclear quality ...
Xinrui Zheng, Mamoru Amemiya
wiley +1 more source
Assessing the Pedestrian Infrastructure for Integrated Visual Walkability of Kolkata Municipal Corporation using Deep Learning based Geospatial Artificial Intelligence (Geo AI) [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesWalkability, a core element of urban mobility, is indispensable for health, liveability, and sustainability. However, it continues to face challenges in the major cities of developing countries across the Global South.
H. Ghose, A. Rai
doaj +1 more source
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
, 2018 This work addresses the problem of semantic scene understanding under dense fog. Although considerable progress has been made in semantic scene understanding, it is mainly related to clear-weather scenes.
A Bar Hillel +20 more
core +1 more source
CoRR, 2020 In this paper, we focus on the coordinate representation in human pose estimation. While being the standard choice, heatmap based representation has not been systematically investigated. We found that the process of coordinate decoding (i.e. transforming the predicted heatmaps to the coordinates) is surprisingly significant for human pose estimation ...
Hanbin Dai +6 more
openaire +2 more sources
IET Smart Cities, Volume 7, Issue 1, January/December 2025.This paper presents ACAMAI, an AI‐assisted pipeline for detecting and mapping urban accessibility constraints using Google Street View imagery. It combines a YOLOv8 object detector with an automated panorama scanning process to identify features such as curb ramps, missing ramps and obstacles, which are then georeferenced and integrated into ...
Rui S. Moreira +7 more
wiley +1 more source
Linking Smartphone GPS Data with Transport Planning: A Framework of Data Aggregation and Anonymization for a Journey Planning App [PDF]
, 2017 With the proliferation of GPS tracking data provided by smartphone apps, it is desirable to develop a data processing and anonymizing framework to transform raw GPS data into a suitable format for transport planning models. The paper aims to describe the
McArthur, David Philip, Wang, Yang
core
Ecological Research, Volume 39, Issue 5, Page 757-765, September 2024.This study investigates the potential of using street‐level imagery for accurate land cover classification. Using 18,022 images with 14 land cover classes, the authors found that Vision Transformer performed the best and demonstrated the full explainability for land cover targets in an image among other models.
Narumasa Tsutsumida +4 more
wiley +1 more source