Vulnerable road users and connected autonomous vehicles interaction: A survey
A Reyes-Muñoz, J Guerrero-Ibáñez - Sensors, 2022 - mdpi.com
There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …
A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
SD-UNET: Stripping down U-net for segmentation of biomedical images on platforms with low computational budgets
PK Gadosey, Y Li, EA Agyekum, T Zhang, Z Liu… - Diagnostics, 2020 - mdpi.com
During image segmentation tasks in computer vision, achieving high accuracy performance
while requiring fewer computations and faster inference is a big challenge. This is especially …
while requiring fewer computations and faster inference is a big challenge. This is especially …
Multi-view convolutional neural networks for mammographic image classification
L Sun, J Wang, Z Hu, Y Xu, Z Cui - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, deep learning has been widely applied for mammographic image
classification. However, most of the existing methods are based on a single mammography …
classification. However, most of the existing methods are based on a single mammography …
Pedestrian detection with unsupervised multispectral feature learning using deep neural networks
Multispectral pedestrian detection is an important functionality in various computer vision
applications such as robot sensing, security surveillance, and autonomous driving. In this …
applications such as robot sensing, security surveillance, and autonomous driving. In this …
Headnet: An end-to-end adaptive relational network for head detection
Head detection plays an important role in localizing and identifying persons from visual data.
Most existing methods treat head detection as a specific form of object detection. Head …
Most existing methods treat head detection as a specific form of object detection. Head …
[HTML][HTML] Light-convolution Dense selection U-net (LDS U-net) for ultrasound lateral bony feature segmentation
Scoliosis is a widespread medical condition where the spine becomes severely deformed
and bends over time. It mostly affects young adults and may have a permanent impact on …
and bends over time. It mostly affects young adults and may have a permanent impact on …
An automatic detection algorithm of metro passenger boarding and alighting based on deep learning and optical flow
Q Liu, Q Guo, W Wang, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Urban rail transit is one of the important application areas of autonomous driving, which will
require an algorithm to monitor the exchange of passengers between metro carriages and …
require an algorithm to monitor the exchange of passengers between metro carriages and …
Whole-body detection, recognition and identification at altitude and range
In this paper, we address the challenging task of whole-body biometric detection,
recognition, and identification at distances of up to 500m and large pitch angles of up to 50 …
recognition, and identification at distances of up to 500m and large pitch angles of up to 50 …