Deep learning framework for vehicle and pedestrian detection in rural roads on an embedded GPU

L Barba-Guaman, J Eugenio Naranjo, A Ortiz - Electronics, 2020 - mdpi.com
Object detection, one of the most fundamental and challenging problems in computer vision.
Nowadays some dedicated embedded systems have emerged as a powerful strategy for …

Advance generalization technique through 3D CNN to overcome the false positives pedestrian in autonomous vehicles

S Iftikhar, M Asim, Z Zhang, AAA El-Latif - Telecommunication Systems, 2022 - Springer
With the popularity of autonomous vehicles and the rapid development of intelligent
transportation, the application scenarios for detecting pedestrians in everyday life are …

Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning

R Bibi, Y Saeed, A Zeb, TM Ghazal… - Computational …, 2021 - Wiley Online Library
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …

Pedestrian detection with multi-view convolution fusion algorithm

Y Liu, C Han, L Zhang, X Gao - Entropy, 2022 - mdpi.com
In recent years, the pedestrian detection technology of a single 2D image has been
dramatically improved. When the scene becomes very crowded, the detection performance …

A multiscale fusion YOLOV3-based model for human abnormal behavior detection in special scenarios

Z Li, J Zhang, Y Wen, Y Dong, W Xu - Journal of transportation …, 2023 - ascelibrary.org
Urban public security incidents are prone to occur. Better understanding of pedestrian
abnormal behavior and trajectory in crowded places is conducive to crowd management …

A conceptual multi-layer framework for the detection of nighttime pedestrian in autonomous vehicles using deep reinforcement learning

MS Farooq, H Khalid, A Arooj, T Umer, AB Asghar… - Entropy, 2023 - mdpi.com
The major challenge faced by autonomous vehicles today is driving through busy roads
without getting into an accident, especially with a pedestrian. To avoid collision with …

Pedestrian detection based on two-stream udn

W Wang, L Wang, X Ge, J Li, B Yin - Applied Sciences, 2020 - mdpi.com
Featured Application This paper can be applied to an autonomous vehicle and driving
assistance system. Abstract Pedestrian detection is the core of the driver assistance system …

Crosswalk Detection from Satellite Imagery for Pedestrian Network Completion

R Verma, SV Ukkusuri - Transportation Research Record, 2023 - journals.sagepub.com
Pedestrian network creation and completion for various tasks in transportation planning
engineering generally requires laborious manual labeling of sidewalks and crosswalks. In …

Anomaly detection in road traffic using visual surveillance: A survey

KK Santhosh, DP Dogra, PP Roy - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

[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 …