AIMC Topic: Pedestrians

Clear Filters Showing 11 to 20 of 77 articles

Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
Deep neural network security is a persistent concern, with considerable research on visible light physical attacks but limited exploration in the infrared domain. Existing approaches, like white-box infrared attacks using bulb boards and QR suits, la...
Humans Pedestrians Infrared Rays Computer Security Neural Networks, Computer Algorithms
View on PubMed DOI

A Multi-Level Relation-Aware Transformer model for occluded person re-identification.

Neural networks : the official journal of the International Neural Network Society May 9, 2024
Occluded person re-identification (Re-ID) is a challenging task, as pedestrians are often obstructed by various occlusions, such as non-pedestrian objects or non-target pedestrians. Previous methods have heavily relied on auxiliary models to obtain i...
Pedestrians Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Perceptions of vulnerable roadway users on autonomous vehicle regulations.

Journal of safety research Feb 23, 2024
INTRODUCTION: Development and implementation of autonomous vehicle (AV) related regulations are necessary to ensure safe AV deployment and wide acceptance among all roadway users. Assessment of vulnerable roadway users' perceptions on AV regulations ...
Humans Pedestrians Female Accidents, Traffic Perception Adult Automobiles Surveys and Questionnaires Walking Male Bicycling Aged Adolescent Safety Middle Aged Young Adult
View on PubMed DOI

A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity.

Accident; analysis and prevention Feb 8, 2024
Pedestrians represent a population of vulnerable road users who are directly exposed to complex traffic conditions, thereby increasing their risk of injury or fatality. This study first constructed a multidimensional indicator to quantify pedestrian ...
Pedestrians Risk Factors Accidents, Traffic Deep Learning Wounds and Injuries Humans Built Environment
View on PubMed DOI

Predicting pedestrian-involved crash severity using inception-v3 deep learning model.

Accident; analysis and prevention Jan 13, 2024
This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash severity using data collected over five years (2016-2021) from Louisiana. The final dataset incorporates forty different variables related to pedestrian at...
Deep Learning Models, Statistical Humans Algorithms Wounds and Injuries Pedestrians Accidents, Traffic
View on PubMed DOI

Enhancing Person Re-Identification Performance Through In Vivo Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 10, 2024
This research investigates the potential of in vivo learning to enhance visual representation learning for image-based person re-identification (re-ID). Compared to traditional self-supervised learning (which require external data), the introduced in...
Humans Machine Learning Pedestrians
View on PubMed DOI

A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns.

Journal of research in health sciences Sep 29, 2023
BACKGROUND: Pattern recognition of pedestrians' traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians'...
Accidents, Traffic Cross-Sectional Studies Surveys and Questionnaires Safety Walking Male Humans Pedestrians Cluster Analysis Adult
View on PubMed DOI

Road Feature Detection for Advance Driver Assistance System Using Deep Learning.

Sensors (Basel, Switzerland) May 4, 2023
Hundreds of people are injured or killed in road accidents. These accidents are caused by several intrinsic and extrinsic factors, including the attentiveness of the driver towards the road and its associated features. These features include approach...
Pedestrians Accidents, Traffic Attention Automobile Driving Humans Deep Learning
View on PubMed DOI

A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection.

Sensors (Basel, Switzerland) Apr 21, 2023
Most pedestrian detection methods focus on bounding boxes based on fusing RGB with lidar. These methods do not relate to how the human eye perceives objects in the real world. Furthermore, lidar and vision can have difficulty detecting pedestrians in...
Pedestrians Vision, Ocular Neural Networks, Computer Deep Learning Humans
View on PubMed DOI

Identification and Improvement of Hazard Scenarios in Non-Motorized Transportation Using Multiple Deep Learning and Street View Images.

International journal of environmental research and public health Oct 28, 2022
In the prioritized vehicle traffic environment, motorized transportation has been obtaining more spatial and economic resources, posing potential threats to the travel quality and life safety of non-motorized transportation participants. It is becomi...
Accidents, Traffic Transportation Humans China Deep Learning Pedestrians
View on PubMed DOI
Popular Topics
Recent Journals