Pedestrian crossing intention prediction at red-light using pose estimation

S Zhang, M Abdel-Aty, Y Wu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Pedestrians' red-light crossing can present a threat to traffic safety. Among all the existing
work related to pedestrian's red-light crossing, there are few studies using trajectory data in …

Do they want to cross? understanding pedestrian intention for behavior prediction

I Kotseruba, A Rasouli… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Driving in urban traffic requires making quick and safe decisions while interacting with
multiple pedestrians and other road users. Early anticipation of others' intentions is …

[HTML][HTML] Where to from here? On the future development of autonomous vehicles from a cognitive systems perspective

S Mahmoud, E Billing, H Svensson, S Thill - Cognitive Systems Research, 2022 - Elsevier
Self-driving cars not only solve the problem of navigating safely from location A to location B;
they also have to deal with an abundance of (sometimes unpredictable) factors, such as …

Interpretable Prediction of Pedestrian Crossing Intention: Fusion of Human Skeletal Information in Natural Driving Scenarios

H Li, Y **, G Ren - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Given that the standardization of automated driving scenario testing is currently underway in
various regions, this paper focused on the pedestrian crossing case outlined in a recent …

Recognition and prediction of pedestrian hazardous crossing intentions in visual field obstruction areas based on IPVO-LSTM

J Zhou, X Bai, W Hu - Applied Sciences, 2023 - mdpi.com
Pedestrians who suddenly cross the street from within the blind spot of a vehicle's field of
view can pose a significant threat to traffic safety. The dangerous pedestrian crossing …

An application of machine learning and image processing to automatically detect teachers' gestures

J Hernández Correa, D Farsani, R Araya - Advances in Computational …, 2020 - Springer
Providing teachers with detailed feedback about their gesticulation in class requires either
one-on-one expert coaching, or highly trained observers to hand code classroom …

Researching and implementing the posture recognition algorithm of the elderly on Jetson nano

TT Than, DKD Danh, HL Nguyen… - … on Multimedia Analysis …, 2022 - ieeexplore.ieee.org
Falls are a common phenomenon among the elderly. Falling not only causes serious
physiological injuries such as fractures, head injuries, etc., but also causes psychological …

[PDF][PDF] Feature representation learning for human activity recognition

B Khaertdinov - 2024 - cris.maastrichtuniversity.nl
Human movements and activities have long been recognized as crucial elements of
nonverbal communication. They serve as a powerful means of transmitting information …

Cognitively inspired design: Rethink the wheel for self-driving cars

S Mahmoud - 2023 - diva-portal.org
ABSTRACT This thesis examines Cognitively Inspired Design (CID), which is the process of
transferring cognitive science frameworks and theories to intelligent systems in an …

Pedestrian Skeleton Tracking Using OpenPose and Probabilistic Filtering

SG Konrad, FR Masson - 2020 IEEE Congreso Bienal de …, 2020 - ieeexplore.ieee.org
An essential task to prevent pedestrian injuries by an autonomous vehicle is the ability to
correctly detect and predict its movement. A deep learning-based 2D human poses detector …