Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
Optimized deep learning with learning without forgetting (LwF) for weather classification for sustainable transportation and traffic safety
Unfortunately, accidents caused by bad weather have regularly made headlines throughout
history. Some of the more catastrophic events to recently make news include a plane crash …
history. Some of the more catastrophic events to recently make news include a plane crash …
A CNN–RNN architecture for multi-label weather recognition
Weather Recognition plays an important role in our daily lives and many computer vision
applications. However, recognizing the weather conditions from a single image remains …
applications. However, recognizing the weather conditions from a single image remains …
Classification of weather phenomenon from images by using deep convolutional neural network
H ** from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey
With increasing urbanization, in recent years there has been a growing interest and need in
monitoring and analyzing urban flood events. Social media, as a new data source, can …
monitoring and analyzing urban flood events. Social media, as a new data source, can …
[HTML][HTML] WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
Extracting information related to weather and visual conditions at a given time and space is
indispensable for scene awareness, which strongly impacts our behaviours, from simply …
indispensable for scene awareness, which strongly impacts our behaviours, from simply …
SCN: Switchable context network for semantic segmentation of RGB-D images
Context representations have been widely used to profit semantic image segmentation. The
emergence of depth data provides additional information to construct more discriminating …
emergence of depth data provides additional information to construct more discriminating …
Relative CNN-RNN: Learning relative atmospheric visibility from images
We propose a deep learning approach for directly estimating relative atmospheric visibility
from outdoor photos without relying on weather images or data that require expensive …
from outdoor photos without relying on weather images or data that require expensive …
Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks
Weather conditions often disrupt the proper functioning of transportation systems. Present
systems either deploy an array of sensors or use an in-vehicle camera to predict weather …
systems either deploy an array of sensors or use an in-vehicle camera to predict weather …