Convolutional neural network for vehicle detection in low resolution traffic videos

CM Bautista, CA Dy, MI Mañalac… - 2016 IEEE Region …, 2016 - ieeexplore.ieee.org
Recent works on Convolutional Neural Network (CNN) in object detection and identification
show its superior performance over other systems. It is being used on several machine …

The efficient real-and non-real-time make and model recognition of cars

R Baran, A Glowacz, A Matiolanski - Multimedia Tools and Applications, 2015 - Springer
Make and Model recognition of cars (MMR) has become an important element of automatic
vision based systems. Nowadays, MMR utility is commonly added to traffic monitoring (eg …

Car make and model recognition under limited lighting conditions at night

N Boonsim, S Prakoonwit - Pattern Analysis and Applications, 2017 - Springer
Car make and model recognition (CMMR) has become an important part of intelligent
transport systems. Information provided by CMMR can be utilized when license plate …

Multi-view vehicle type recognition with feedback-enhancement multi-branch CNNs

Z Chen, C Ying, C Lin, S Liu, W Li - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Vehicle type recognition (VTR) is a quite common requirement and one of the key
challenges in real surveillance scenarios, such as intelligent traffic and unmanned driving …

Optimized EfficientDet deep learning model for vehicle detection

C **jiang, A Qing, B Yan - Nan**g **nxi Gongcheng Daxue …, 2021 - search.proquest.com
At present, deep learning has been widely applied in object detection, such as vehicle
detection. In this paper, the deep learning EfficientDet model was analyzed, and its …

[HTML][HTML] Intelligent Detection of Hazardous Goods Vehicles and Determination of Risk Grade Based on Deep Learning

Q An, S Wu, R Shi, H Wang, J Yu, Z Li - Sensors, 2022 - mdpi.com
Currently, deep learning has been widely applied in the field of object detection, and some
relevant scholars have applied it to vehicle detection. In this paper, the deep learning …

优化 EfficientDet 深度学**的车辆检测.

陈西江, 安庆, 班亚 - Journal of Nan**g University of …, 2021 - search.ebscohost.com
摘要针对深度学**EfficientDet 模型的车辆检测性能进行分析, 基于训练过程中容易陷入局部最
优进行优化改进, 构建分阶段自适应的训练模型, 利用该训练模型对短距离和远距离车辆进行 …

Automatic car make recognition in low-quality images

P Badura, M Skotnicka - Information Technologies in Biomedicine, Volume …, 2014 - Springer
This paper presents a robust system for automatic car make recognition in real-traffic images
of car front, featuring low contrast and compression-based distortions. The system is …

Vehicle type recognition: a case study of MobileNetV2 for an image Classification task

D Kobiela, J Groth, M Hajdasz, M Erezman - Procedia Computer Science, 2024 - Elsevier
The goal of the research was to demonstrate the full data science lifecycle through a use
case of the MobileNetv2 model for vehicle image Classification task using various validation …

A framework for cloned vehicle detection

M Li, J Mao, X Qi, C ** - Frontiers of Computer Science, 2020 - Springer
Rampant cloned vehicle offenses have caused great damage to transportation management
as well as public safety and even the world economy. It necessitates an efficient detection …