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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 …
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
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 …
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 …
transport systems. Information provided by CMMR can be utilized when license plate …
Multi-view vehicle type recognition with feedback-enhancement multi-branch CNNs
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 …
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 …
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 …
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 …
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 …
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 …
case of the MobileNetv2 model for vehicle image Classification task using various validation …
A framework for cloned vehicle detection
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 …
as well as public safety and even the world economy. It necessitates an efficient detection …