Results 81 to 90 of about 2,071 (151)

MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving

, 2019
Autonomous driving requires operation in different behavioral modes ranging from lane following and intersection crossing to turning and stopping. However, most existing deep learning approaches to autonomous driving do not consider the behavioral mode ...
Chowdhuri, Sauhaarda, Pankaj, Tushar, Zipser, Karl   +2 more
core   +1 more source

HPAN: Hierarchical Part-Aware Network for Fine-Grained Segmentation of Street View Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Street view imagery (SVI) has become a valuable geospatial data source for urban analysis, offering rich information about urban environments from a human-centric perspective.
Leiyang Zhong, Wenhao Guo, Jiayi Zheng, Liyue Yan, Jizhe Xia, Dejin Zhang, Qingquan Li   +6 more
doaj   +1 more source

Mapping Urban Segregation with GeoAI: Street View Perceptions and Socio-Spatial Inequality in Thessaloniki, Greece

Land
This study examines the statistical and spatial alignment between urban place perceptions and the census-based evidence of socio-spatial segregation. We process a large dataset of geotagged images from Mapillary and KartaView with ZenSVI to score six ...
Aristotelis Vartholomaios, Apostolos Lagarias   +1 more
doaj   +1 more source

Anreicherung von Straßendaten mittels Deep-Learning-Methoden und Mapillary Bildern

Wir haben einen globalen Datensatz zu Straßeneigenschaften ("befestigt" oder "unbefestigt") mithilfe von KI-Methoden erstellt, basierend auf 105 Millionen Bildern von Mapillary . Unser Ansatz kombiniert SWIN-Transformer-Vorhersagen des Straßenbelags mit einer CLIP-Filterung minderwertiger Bilder. Der Datensatz deckt 36 % des weltweiten Straßennetzes ab,
Herfort, Benjamin, Randhawa, Sukanya
openaire   +2 more sources

MR-Former: Improving universal image segmentation via refined masked-attention transformer

Alexandria Engineering Journal
Mask-based universal image segmentation architectures, which focus attention within the mask region, have significantly enhanced both segmentation accuracy and speed, becoming a key component of universal image segmentation frameworks.
Xingliang Zhu, Weiwei Yu, Xiaoyu Dong, Wei Zhang, Bin Kong   +4 more
doaj   +1 more source

From crowdsourced data to policy design: monitoring and forecasting homeless tents

EPJ Data Science
Homelessness in the United States remains a persistent and growing crisis, further complicated by a shortage of high-quality, high-resolution data. The existing Point-in-Time (PIT) count data has several limitations, as it relies on single-night counts ...
Wooyong Jung, Sola Kim, Dongwook Kim, Andre Sihombing, Maryam Tabar, Dongwon Lee   +5 more
doaj   +1 more source

MPFNet: Multiscale Prediction Network With Cross Fusion for Real-Time Semantic Segmentation

IEEE Access
Semantic segmentation currently plays an important role in computer vision and is widely applied in both industry and human life. The self-driving car is one of the most trending applications, which assists humans in making informed decisions.
van Toan Quyen, Min Young Kim
doaj   +1 more source

Emotional Mediation of the Effect of Urban Park Audiovisual Elements on Leisure-Time Physical Activity

Fengjing Yuanlin
ObjectiveAs one of the basic well-beings and primary needs for the survival and development of mankind, health is closely influenced by a variety of multidimensional and complex influencing factors.
Yueqi WANG, Zhenguo HU, LING ZHU
doaj   +1 more source

In Search of Basement Indicators from Street View Imagery Data: An Investigation of Data Sources and Analysis Strategies. [PDF]

Kunstliche Intell (Oldenbourg), 2023
Vo AV, Bertolotto M, Ofterdinger U, Laefer DF.   +3 more
europepmc   +1 more source

Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments. [PDF]

Sensors (Basel), 2023
Zhang H, Venkatramani S, Paz D, Li Q, Xiang H, Christensen HI.   +5 more
europepmc   +1 more source