Search Results for author:
Found 5 papers, 2 papers with code
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection
Relying on monocular image data for precise 3D object detection remains an open problem, whose solution has broad implications for cost-sensitive applications such as traffic monitoring.
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees
Climate science is critical for understanding both the causes and consequences of changes in global temperatures and has become imperative for decisive policy-making.
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Road maintenance during the Winter season is a safety critical and resource demanding operation.
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions
Previous research has evaluated the potential of image classification methods for detecting road snow coverage by processing images from roadside cameras installed in RWIS (Road Weather Information System) stations.
CapsNet comparative performance evaluation for image classification
Image classification has become one of the main tasks in the field of computer vision technologies.
