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Pedestrian crossing intention prediction at red-light using pose estimation
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
transferring cognitive science frameworks and theories to intelligent systems in an …
Pedestrian Skeleton Tracking Using OpenPose and Probabilistic Filtering
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 …
correctly detect and predict its movement. A deep learning-based 2D human poses detector …