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Road marking repair identification method, device and equipment and storage medium thereof
The invention provides a road marking repair recognition method, device and equipment and a storage medium thereof, and the method comprises the steps: obtaining a road image, and determining a road surface region and a non-road surface region in the road image; extracting an area with a marked line in the road area, and generating an image to be restored according to the area with the marked line and the road image; extracting a feature vector in the to-be-restored image through a convolutional neural network model, and determining a marking restoration condition in the to-be-restored image according to the feature vector; repairing the first damaged area and/or the second damaged area according to a preset repairing strategy and a preset quality inspection condition to obtain a repaired area set; wherein the preset repair strategy comprises a first repair strategy, a second repair strategy and a third repair strategy. According to the invention, the misjudgment of the picture is avoided, the damaged marking line can be accurately identified, and the damaged marking line can be repaired.
本申请提供了一种道路标线修复识别方法、装置、设备及其存储介质,所述方法包括:获取道路图像,并确定所述道路图像中的路面区域和非路面区域;在所述路面区域中提取带有标线区域,并依据所述带有标线区域和所述道理图像生成待修复图像;通过卷积神经网络模型提取所述待修复图像中的特征向量,并依据所述特征向量确定所述待修复图像中的标线修复情况;依据预设修复策略和预设质检条件对所述第一损坏区域和/或所述第二损坏区域进行修复,得到已修复区域集合;其中,所述预设修复策略包括第一修复策略、第二修复策略和第三修复策略。避免了对图片的误判,对于损坏的标线能够精准识别,并对损坏的标线进行修复。
Road marking repair identification method, device and equipment and storage medium thereof
The invention provides a road marking repair recognition method, device and equipment and a storage medium thereof, and the method comprises the steps: obtaining a road image, and determining a road surface region and a non-road surface region in the road image; extracting an area with a marked line in the road area, and generating an image to be restored according to the area with the marked line and the road image; extracting a feature vector in the to-be-restored image through a convolutional neural network model, and determining a marking restoration condition in the to-be-restored image according to the feature vector; repairing the first damaged area and/or the second damaged area according to a preset repairing strategy and a preset quality inspection condition to obtain a repaired area set; wherein the preset repair strategy comprises a first repair strategy, a second repair strategy and a third repair strategy. According to the invention, the misjudgment of the picture is avoided, the damaged marking line can be accurately identified, and the damaged marking line can be repaired.
本申请提供了一种道路标线修复识别方法、装置、设备及其存储介质,所述方法包括:获取道路图像,并确定所述道路图像中的路面区域和非路面区域;在所述路面区域中提取带有标线区域,并依据所述带有标线区域和所述道理图像生成待修复图像;通过卷积神经网络模型提取所述待修复图像中的特征向量,并依据所述特征向量确定所述待修复图像中的标线修复情况;依据预设修复策略和预设质检条件对所述第一损坏区域和/或所述第二损坏区域进行修复,得到已修复区域集合;其中,所述预设修复策略包括第一修复策略、第二修复策略和第三修复策略。避免了对图片的误判,对于损坏的标线能够精准识别,并对损坏的标线进行修复。
Road marking repair identification method, device and equipment and storage medium thereof
一种道路标线修复识别方法、装置、设备及其存储介质
YAO BIN (Autor:in) / XIONG JIAN (Autor:in) / FAN LEI (Autor:in)
18.04.2023
Patent
Elektronische Ressource
Chinesisch
IPC:
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06V
Marking repair device for road, bridge and road maintenance
Europäisches Patentamt | 2024
|Europäisches Patentamt | 2025
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