DEEP learningAUTOMOBILE drivingIn recent years, smart cars have advanced rapidly and use artificial intelligence technology to predict behavior, make decisions, and control goals. This technology significantly determines the knowledge level of vehicles. In the complex and dynamic environment of road ...
在本文中,我们提出了一种用于资源约束环境的实时和轻型线段检测器——M-LSD。我们设计了一个非常高效的LSD架构,通过最小化主干网络和删除在以前的方法中发现的典型的多模块的线预测过程。为了保持在轻量级网络中的竞争性能,我们提出了一种新的训练方案:线段分段(SoL)的增强、匹配和几何损失。SoL增强将一个线段分割...
pythoncontrolsimulatorsimulationautonomous-carobject-detectionautonomous-vehicleslane-detectionpid-controllerline-detectionmpc-controlyolov5 UpdatedJul 16, 2021 Python 使用ONNXRuntime部署面向轻量实时的M-LSD直线检测,包含C++和Python两个版本的程序 pythondeep-learningcppline-detection ...
a variety of deep learning-based methods for lane line detection have been proposed by researchers in the field. However, owing to the simple appearance of lane lines and the lack of distinctive features, it is easy for other
First, we integrate the tracking and deep-learning-based detection for the real-time and reliable transmission tower localization. Second, to provide UAV with a robust and precise heading, we compute and optimize the vanishing point of transmission lines. Third, to solve the problem of measurement...
时间序列异常检测综述1:Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guideline 摘要 随着工业自动化和连接技术的进步,各种系统继续产生大量的数据。人们提出许多方法,从海量数据中提取主要指标来表示整个系统状态。利用这些指标及时发现异常,避免潜在的事故和经济损失。多变量时间序列...
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles In this contribution, we study the feasibility of using a deep learning video-based lane corridor (called \\enquote{AI ego-corridor}) to ease the ... T Michalke,Y Kaddar,T Nürnberg,... - 《Arxiv》 被...
With the advent of deep learning technologies, algorithms based on convolutional neural networks can learn and represent various visual features at multiple scales, achieving significant success in the field of street scene image detection [13]. Show abstract Real-time pavement temperature prediction ...
Implementation of the paperDeepLSD: Line Segment Detection and Refinement with Deep Image Gradients, accepted at CVPR 2023.DeepLSD is a generic line detector that combines the robustness of deep learning with the accuracy of handcrafted detectors. It can be used to extractgeneric line segments from...
text line segmentation; text line extraction; text line detection; unsupervised deep learning1. Introduction In recent years, deep learning networks have demonstrated state-of-the-art performance in document image analysis tasks [1,2,3]. The success of deep learning networks is mainly driven by a...