Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks

J Spooner, M Cheah, V Palade, S Kanarachos… - … : Proceedings of the …, 2020 - Springer
Vulnerable road user safety is of paramount importance as transport moves towards fully
autonomous driving. The research question posed by this research is of how can we train a …

Multi-task deep learning for pedestrian detection, action recognition and time to cross prediction

DO Pop, A Rogozan, C Chatelain, F Nashashibi… - IEEE …, 2019 - ieeexplore.ieee.org
A pedestrian detection system is a crucial component of advanced driver assistance systems
since it contributes to road flow safety. The safety of traffic participants could be significantly …

Recognition of Pedestrians' Crossing Intentions with a Conv-Transformer Network

B Yang, G Yan, F Wang, C Yang, X Liu - International Conference on …, 2022 - Springer
Recognizing pedestrians' crossing intentions is critical for self-driving cars to avoid vehicle-
pedestrian collisions. However, it is challenging to recognize pedestrians' crossing …

Pedestrian Intention Recognition and Action Prediction Using a Feature Fusion Deep Learning Approach

O Hamed, HJ Steinhauer - … 2021, Umeå, Sweden, September 27–30 …, 2021 - diva-portal.org
Recognizing Pedestrians intention to cross a street and predicting their imminent crossing
action are major challenges for advanced driver assistance systems (ADAS) and …

Identification Of Pedestrian Movement And Classification Using Deep Learning For Advanced Driver Assistance System

S Deokar, S Khandekar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Prediction of pedestrian behavior is the most challenging task in today's era. Especially, in
India, when a pedestrian is crossing the road it is very important to avoid accidents and slow …

Deep Learning for Real-time Pedestrian Intention Recognition in Autonomous Driving

P Sérgio - Journal of AI in Healthcare and Medicine, 2022 - healthsciencepub.com
[1] Autonomous driving is entering our lives in the form of commercial vehicles and private
cars at an increasing pace. Many advanced features such as automatic parking, adaptive …

Vision-based recognition of pedestrian crossing intention in an urban environment

B Yang, R Ni - 2019 IEEE 9th Annual International Conference …, 2019 - ieeexplore.ieee.org
Autonomous moving platforms (like self-driving cars and mobile robots) need to understand
the behaviors of pedestrians for better performance. Recognizing pedestrians' crossing …

Generation of pedestrian crossing scenarios using ped-cross generative adversarial network

J Spooner, V Palade, M Cheah, S Kanarachos… - Applied Sciences, 2021 - mdpi.com
The safety of vulnerable road users is of paramount importance as transport moves towards
fully automated driving. The richness of real-world data required for testing autonomous …

Enhancing Deep Convolutional Neural Networks to Detect Pedestrians Effectively in Various Urban Environments

MM Hasan, N Aman, MW Jahan - 2024 6th International …, 2024 - ieeexplore.ieee.org
In computer vision, accurately identifying pedestrians is a crucial difficulty, especially in
applications where safety is of the highest priority, such autonomous driving and urban …

[HTML][HTML] Pedestrian intention prediction: A convolutional bottom-up multi-task approach

H Razali, T Mordan, A Alahi - Transportation research part C: emerging …, 2021 - Elsevier
The ability to predict pedestrian behaviour is crucial for road safety, traffic management
systems, Advanced Driver Assistance Systems (ADAS), and more broadly autonomous …