Results 11 to 20 of about 2,071 (151)
Lane-Level Road Map Construction considering Vehicle Lane-Changing Behavior
In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It has been widely studied because this kind of map provides the foundation for much research, such as high-precision navigation ...
Liang Fan +4 more
doaj +2 more sources
Method for Applying Crowdsourced Street-Level Imagery Data to Evaluate Street-Level Greenness
Street greenness visibility (SGV) is associated with various health benefits and positively influences perceptions of landscape. Lowering the barriers to SGV assessments and measuring the values accurately is crucial for applying this critical landscape ...
Xinrui Zheng, Mamoru Amemiya
exaly +3 more sources
Exploratory Completeness Analysis of Mapillary for Selected Cities in Germany and Austria [PDF]
Mapillary, founded in early 2014, is a Web 2.0 application that allows voluntary users to contribute street level photographs from all over the world. This paper analyses the growth in uploaded data and contributor numbers over time, and assesses data completeness by comparing Mapillary with Google Street View and OpenStreetMap data for selected cities
Levente Juhász, Hartwig H Hochmair
exaly +2 more sources
RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning [PDF]
IntroductionPath planning in complex and dynamic environments poses a significant challenge in the field of mobile robotics. Traditional path planning methods such as genetic algorithms, Dijkstra's algorithm, and Floyd's algorithm typically rely on ...
Yang Jing, Li Weiya
doaj +2 more sources
OpenStreetCam and Mapillary are two increasingly popular online services centered on providing street-level imagery through close association with the OpenStreetMap platform and crowdmapping community. While both services provide crowdsourced street-level imagery, the differences in their aims and operations present an opportunity to discuss the ...
Luis F Alvarez Leon, Sterling Quinn
exaly +3 more sources
We have released an open dataset with global coverage on road surface characteristics (paved or unpaved) derived utilising 105 million images from the world's largest crowdsourcing-based street view platform, Mapillary, leveraging state-of-the-art geospatial AI methods.
Sukanya Randhawa +2 more
exaly +3 more sources
Obtaining high-quality fine-grained annotations for traffic signs is critical for accurate and safe decision-making in autonomous driving. Widely used datasets, such as Mapillary, often provide only coarse-grained labels - without distinguishing semantically important types such as stop signs or speed limit signs.
Abhishek Aich
exaly +3 more sources
The State of Mapillary: An Exploratory Analysis [PDF]
As the world’s largest crowdsourcing-based street view platform, Mapillary has received considerable attention in both research and practical applications. By February 2019, more than 20,000 users worldwide contributed approximately 6.3 million kilometers of streetscape sequences.
Dawei Ma +3 more
openaire +2 more sources
MONITORING OF DYNAMIC OBJECTS ON A 2D OCCUPANCY MAP USING NEURAL NETWORKS AND MULTIMODAL DATA [PDF]
The paper deals with the construction of dynamic occupancy maps, where the grid cell can contain not only information about the presence or absence of an obstacle, but also information about its velocity.
A. S. Krishtopik +2 more
doaj +1 more source
COLLABORATIVE MAPPING STRATEGY IN SUPPORT OF SLUM UPGRADING: THE CASE OF BOGOTÁ [PDF]
The article presents the development of a methodology for collaborating data gathering carried out remotely in a South American informal settlement for the purpose of a slum upgrading project. It was built in progress considering issues, limitations, and
S. Raviscioni +5 more
doaj +1 more source

