This paper deals with the problem of estimating the following road sign parameters: height, dimensions, visibility distance and partial occlusions.
This paper deals with the problem of estimating the following road sign parameters: height, dimensions, visibility distance and partial occlusions.
[PDF] Road Sign Analysis Using Multisensory Data - ResearchGate
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Abstract. This paper deals with the problem of estimating the follo- wing road sign parameters: height, dimensions, visibility distance and.
This paper deals with the problem of estimating the following road sign parameters: height, dimensions, visibility distance and partial occlusions.
From this paper we suggest a multisensory system composed from two cameras, a GPS receiver, and a distance measurement device,all of them installed in a car.
Jun 6, 2023 · In this research, YOLOv5 is used as a single classification detector for traffic sign localization. Afterwards, we propose a hierarchical classification model ...
This work provides a reference for research on obtaining higher accuracy for traffic sign detection in autonomous driving.
Sep 30, 2024 · This study uses the multiple sensors in the equipped vehicles of the Tongji University Road and Traffic Holographic Data Acquisition System to ...
Missing: Multisensory | Show results with:Multisensory
It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four ...
The main aim of this study was to analyze the effect of the directional road sign displayed on multi and single-board signs on driver mental workload and ...
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