AIMC Topic: Pedestrians

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A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction.

Sensors (Basel, Switzerland) Nov 13, 2021
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in the automotive industry, especially in the field of advanced driver assistance systems. The ability to anticipate the next movements of pedestrians on the str...
Humans Pedestrians Accidents, Traffic Automobile Driving Technology Deep Learning Signal Processing, Computer-Assisted
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Social Robot Navigation Tasks: Combining Machine Learning Techniques and Social Force Model.

Sensors (Basel, Switzerland) Oct 26, 2021
Social robot navigation in public spaces, buildings or private houses is a difficult problem that is not well solved due to environmental constraints (buildings, static objects etc.), pedestrians and other mobile vehicles. Moreover, robots have to mo...
Pedestrians Social Interaction Models, Theoretical Robotics Humans Machine Learning
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Effect of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents using deep learning.

Traffic injury prevention Oct 26, 2021
OBJECTIVE: The aim of this study is to identify the effects of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents via deep learning.
Finite Element Analysis Adult Child Humans Craniocerebral Trauma Automobiles Male Female Walking Deep Learning Pedestrians Accidents, Traffic
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Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk.

Accident; analysis and prevention Aug 31, 2021
It is well known that pedestrians are vulnerable road users. Their risk of being injured or killed in road traffic crashes is even higher as vehicle drivers often violate traffic rules and do not slow down or yield in front of crosswalks. In order to...
Walking Pedestrians Accidents, Traffic Safety Humans Artificial Intelligence Automobiles
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Crash severity analysis of vulnerable road users using machine learning.

PloS one Aug 5, 2021
Road crash fatality is a universal problem of the transportation system. A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity. This paper focuses on empl...
Humans Queensland Middle Aged Machine Learning Young Adult Accidents, Traffic Support Vector Machine Female Motorcycles Adult Pedestrians Bicycling Male
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A Review of Intelligent Driving Pedestrian Detection Based on Deep Learning.

Computational intelligence and neuroscience Jul 20, 2021
Pedestrian detection is a specific application of object detection. Compared with general object detection, it shows similarities and unique characteristics. In addition, it has important application value in the fields of intelligent driving and sec...
Deep Learning Intelligence Pedestrians Automobile Driving Humans
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A Two-Stream Dynamic Pyramid Representation Model for Video-Based Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 12, 2021
Video-based person re-identification (Re-ID) leverages rich spatio-temporal information embedded in sequence data to further improve the retrieval accuracy comparing with single image Re-ID. However, it also brings new difficulties. 1) Both spatial a...
Humans Biometric Identification Image Processing, Computer-Assisted Neural Networks, Computer Pedestrians Video Recording Algorithms
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Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2021
In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiting from the revival of deep neural networks. However, due to the existence of domain bias which refers to the different data distributions between two...
Image Processing, Computer-Assisted Unsupervised Machine Learning Pedestrians Algorithms Databases, Factual Biometric Identification Humans
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Pedestrian attribute recognition using two-branch trainable Gabor wavelets network.

PloS one Jun 1, 2021
Keeping an eye on pedestrians as they navigate through a scene, surveillance cameras are everywhere. With this context, our paper addresses the problem of pedestrian attribute recognition (PAR). This problem entails recognizing attributes such as age...
Child Image Processing, Computer-Assisted Pedestrians Pattern Recognition, Automated Infant Adolescent Child, Preschool Adult Male Humans Neural Networks, Computer Algorithms Female Young Adult
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Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 8, 2021
Deep unfolding methods design deep neural networks as learned variations of optimization algorithms through the unrolling of their iterations. These networks have been shown to achieve faster convergence and higher accuracy than the original optimiza...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Pedestrians Video Recording
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