Road object detection: a comparative study of deep learning-based algorithms
Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …
Object detection using deep learning methods in traffic scenarios
A Boukerche, Z Hou - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The recent boom of autonomous driving nowadays has made object detection in traffic
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …
Detection of road objects with small appearance in images for autonomous driving in various traffic situations using a deep learning based approach
Effectively detecting road objects in various environments would significantly improve
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
A comparative study of state-of-the-art deep learning algorithms for vehicle detection
H Wang, Y Yu, Y Cai, X Chen… - IEEE Intelligent …, 2019 - ieeexplore.ieee.org
In recent years, the deep learning object detection algorithms using 2D images have
become the powerful tools for road object detection in autonomous driving. In fact, the deep …
become the powerful tools for road object detection in autonomous driving. In fact, the deep …
RETRACTED: Road Object Detection: A Comparative Study of Deep Learning-Based Algorithms
M Haris, A Glowacz - Electronics, 2021 - mdpi.com
Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …
object detection be accurate overall and robust to weather and environmental conditions …
Object detection in autonomous vehicles: Status and open challenges
A Balasubramaniam, S Pasricha - arXiv preprint arXiv:2201.07706, 2022 - arxiv.org
Object detection is a computer vision task that has become an integral part of many
consumer applications today such as surveillance and security systems, mobile text …
consumer applications today such as surveillance and security systems, mobile text …
Detection of road objects based on camera sensors for autonomous driving in various traffic situations
G Li, W Fan, H Xie, X Qu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Successfully detecting road objects from camera sensors in various traffic environments
would significantly facilitate the development of driving safety applications for autonomous …
would significantly facilitate the development of driving safety applications for autonomous …
Improved YOLOv3 model with feature map cropping for multi-scale road object detection
L Shen, H Tao, Y Ni, Y Wang… - … Science and Technology, 2023 - iopscience.iop.org
Road object detection is an essential and imperative step for driving intelligent vehicles.
Generally, road objects, such as vehicles and pedestrians, present the characteristic of multi …
Generally, road objects, such as vehicles and pedestrians, present the characteristic of multi …
Deep learning-based perception systems for autonomous driving: A comprehensive survey
With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
Performance evaluation and analysis of drone-based vehicle detection techniques from deep learning perspective
From smart cities development perspective, road vehicle detection exploiting drone-based
aerial imagery is a crucial part of traffic surveillance and monitoring systems where effective …
aerial imagery is a crucial part of traffic surveillance and monitoring systems where effective …