Results 21 to 30 of about 260,789 (262)

Night Time Vehicle Detection

open access: yesJournal of Intelligent Systems, 2012
Abstract. Night driving is one of the major factors which affects traffic safety. Although detecting oncoming vehicles at night time is a challenging task, it may improve traffic safety. If the oncoming vehicle is recognised in good time, this will motivate drivers to keep their eyes on the road.
Hasan Fleyeh, Iman A. Mohammed
openaire   +4 more sources

FlexiNet: Fast and Accurate Vehicle Detection for Autonomous Vehicles [PDF]

open access: yes2021 4th International Conference on Control and Computer Vision, 2021
Autonomous vehicle has come to reach on the road; however accurate road perception in real-time is one of the crucial factors towards its success. The greatest challenge in this direction includes occlusion, truncation, lighting conditions, and complex backgrounds.
Sabeeha Mehtab   +2 more
openaire   +1 more source

The study on tire tread depth measurement method based on machine vision

open access: yesAdvances in Mechanical Engineering, 2019
The tire tread depth has strong influence on the braking performance of the vehicle and should be inspected periodically for driving safety. In order to determine the tire tread depth accurately and automatically, a tire tread depth measurement method ...
Xi-Bo Wang   +5 more
doaj   +1 more source

Research on Vehicle Lane Change Warning Method Based on Deep Learning Image Processing

open access: yesSensors, 2022
In order to improve vehicle driving safety in a low-cost manner, we used a monocular camera to study a lane-changing warning algorithm for highway vehicles based on deep learning image processing technology.
Qiang Zhang, Ziming Sun, Hong Shu
doaj   +1 more source

Research on The Vehicle Detection Technology Based on The Yolo Model [PDF]

open access: yesITM Web of Conferences
Vehicle detection is the most basic and important part of intelligent transportation systems and vehicle driving technology. Vehicle detection is mainly responsible for finding all vehicles in a given image and giving their bounding boxes. From the point
Cao Lihang
doaj   +1 more source

Anomaly Detection of Highway Vehicle Trajectory under the Internet of Things Converged with 5G Technology

open access: yesComplexity, 2021
The gradual increase in the density of highway vehicles and traffic flow makes the abnormal driving state of vehicles an indispensable tool for assisting traffic dispatch.
Ketao Deng
doaj   +1 more source

High Occupancy Vehicle Detection [PDF]

open access: yes, 2008
High occupancy vehicles lanes (HOV) are highway lanes usually reserved to vehicles carrying at least two persons. They are designed to help move more people though congested areas. In this context, automatic passenger counting systems could be useful to grant access to or to control vehicles in those lanes.
Alberto J. Pérez Jiménez   +2 more
openaire   +1 more source

Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2

open access: yesSensors, 2019
Vehicle detection is a challenging task in computer vision. In recent years, numerous vehicle detection methods have been proposed. Since the vehicles may have varying sizes in a scene, while the vehicles and the background in a scene may be with ...
Zhongyuan Wu   +5 more
doaj   +1 more source

Vehicle target detection methods based on color fusion deformable part model

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
In this paper, the traditional vehicle target detection method is improved, and a vehicle target detection method based on color fusion deformable part model (DPM) is proposed.
Dongbing Zhang
doaj   +1 more source

Nighttime Vehicle Detection and Tracking with Occlusion Handling by Pairing Headlights and Taillights

open access: yesApplied Sciences, 2020
In recent years, vision-based vehicle detection has received considerable attention in the literature. Depending on the ambient illuminance, vehicle detection methods are classified as daytime and nighttime detection methods.
Tuan-Anh Pham, Myungsik Yoo
doaj   +1 more source

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