[HTML][HTML] Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges

S Iftikhar, Z Zhang, M Asim, A Muthanna… - Electronics, 2022 - mdpi.com
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

Deep learning for occluded and multi‐scale pedestrian detection: A review

Y Xiao, K Zhou, G Cui, L Jia, Z Fang… - IET Image …, 2021 - Wiley Online Library
Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in
many fields, such as automatic driving, video surveillance, robots and so on. In recent years …

[Retracted] A Review of Intelligent Driving Pedestrian Detection Based on Deep Learning

D Tian, Y Han, B Wang, T Guan… - Computational …, 2021 - Wiley Online Library
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 …

A part-aware multi-scale fully convolutional network for pedestrian detection

P Yang, G Zhang, L Wang, L Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Pedestrian detection is a crucial task in intelligent transportation systems, which can be
applied in autonomous vehicles and traffic scene video surveillance systems. The past few …

Occlusion handling and multi-scale pedestrian detection based on deep learning: A review

F Li, X Li, Q Liu, Z Li - IEEE Access, 2022 - ieeexplore.ieee.org
Pedestrian detection is an important branch of computer vision, and has important
applications in the fields of autonomous driving, artificial intelligence and video surveillance …

[HTML][HTML] Pedestrian and vehicle detection in autonomous vehicle perception systems—A review

LG Galvao, M Abbod, T Kalganova, V Palade… - Sensors, 2021 - mdpi.com
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …

[HTML][HTML] Occlusion and multi-scale pedestrian detection A review

W Chen, Y Zhu, Z Tian, F Zhang, M Yao - Array, 2023 - Elsevier
Pedestrian detection has a wide range of application prospects in many fields such as
unmanned driving, intelligent monitoring, robot, etc., and has always been a hot issue in the …

[HTML][HTML] Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey

S Ahmed, MN Huda, S Rajbhandari, C Saha… - Applied Sciences, 2019 - mdpi.com
As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

Pedestrian detection based on light-weighted separable convolution for advanced driver assistance systems

R Ayachi, Y Said, A Ben Abdelaali - Neural Processing Letters, 2020 - Springer
The growth in the number of vehicles in the world makes it hard to safely share the
environment with pedestrians. Pedestrian's safety is an important task that needs to be …

Deep convolutional neural networks for pedestrian detection

D Tomè, F Monti, L Baroffio, L Bondi… - Signal processing …, 2016 - Elsevier
Pedestrian detection is a popular research topic due to its paramount importance for a
number of applications, especially in the fields of automotive, surveillance and robotics …