基于卡方检验的SAR图像道路检测算法

为有效解决SAR图像道路检测算法中阈值优化的问题,提出了一种不需要固定阈值的检测方法.该方法由不同阈值组合的Tupin边缘检测算法得到边缘检测结果图集,并逐像素统计得到边缘密度图;引入卡方检验计算边缘密度图与边缘检测结果图集之间的相似性度量参数,优化得到最佳边缘相关等级;根据最佳等级得到最终的道路边缘检测结果.实验结果表明,该方法有较强的开放性与目标适应性,自动化程度高,有很强的工程实用性.     

ETC系统中车道控制器的设计

车道控制器是ECT系统中的重要组成部分.车道控制器用于管理ETC系统中的交通信号灯、视频采集设备、栏杆机、车辆检测设备和费额显示器等设备.介绍了一种基于W77E58微处理器的车道控制器的详细设计方案,同时给出了车道控制器的硬件结构和软件组成.     

一种城市道路照明智能化监控管理系统设计

根据城市道路照明的特点,提出一种实用的城市道路照明智能监控管理系统设计方案,分析了的总体系统结构,阐述了监控管理的基本原理和具体实施要求,并结合实际应用效果,对系统功能作了全面的介绍。     

结合视觉Transformer和CNN的道路裂缝检测方法

提出了一种结合视觉Transformer和CNN的道路裂缝检测方法。利用CNN来捕获局部的细节信息,同时利用视觉Transformer来捕获全局特征。通过设计的Fusion特征融合模块将两者提取的特征有机地结合在一起,从而解决了单独使用CNN或视觉Transformer方法存在的局限。最终将结果传递至交互式解码器,生成道路裂缝的检测结果。实验结果表明,无论是在公开的数据集上还是在自建的数据集上,相较于单独使用CNN或视觉Transformer的方法,所提出的方法在道路裂缝检测任务中有更好的效果。     

点云空间与反射强度融合的非结构化道路可行驶区域检测

可行驶区域检测旨在检测和提取智能车辆在道路上可行进的区域, 目前主流的检测方法主要基于三维激光雷达的空间特征实现, 难以处理路面边缘无清晰空间特征的非结构化道路. 为此, 本文提出了一种基于点云空间和反射强度融合的非结构化道路可行驶区域检测方法. 首先, 通过融合反射强度因子改进了基于空间特征的柱坐标系检测模型; 然后, 使用强度和降维空间检测对检测精度较低的环形检测模型进行优化, 并将其与柱坐标系检测模型联合使用以提高方法检测准确率; 最后, 在自录实际道路数据集上进行对比实验. 实验结果表明本文方法显著提高了非结构化道路可行驶区域检测的成功率与精确率, 在结构化道路上也具有良好效果.     

RNT:一种面向公路网的空间索引方法

公路网地图匹配技术是各种基于位置服务的基础,为实时、准确的将坐标点定位至公路网中的所属公路段,需要对公路网路段进行索引。提出的RNT树是一种基于R树的针对公路网的索引方法,它以公路网内嵌多边形为索引对象,将线段索引上升为面索引,能够避免索引重叠区域的产生,查询路径唯一。在树生成时间、磁盘利用率和查询时间方面均比R树显著提高。     

Speed and Accuracy Tradeoff for LiDAR Data Based Road Boundary Detection

Road boundary detection is essential for autonomous vehicle localization and decision-making, especially under GPS signal loss and lane discontinuities. For road boundary detection in structural environments, obstacle occlusions and large road curvature are two significant challenges. However, an effective and fast solution for these problems has remained elusive. To solve these problems, a speed and accuracy tradeoff method for LiDAR-based road boundary detection in structured environments is proposed. The proposed method consists of three main stages: 1) a multi-feature based method is applied to extract feature points; 2) a road-segmentation-line-based method is proposed for classifying left and right feature points; 3) an iterative Gaussian Process Regression (GPR) is employed for filtering out false points and extracting boundary points. To demonstrate the effectiveness of the proposed method, KITTI datasets is used for comprehensive experiments, and the performance of our approach is tested under different road conditions. Comprehensive experiments show the road-segmentation-line-based method can classify left, and right feature points on structured curved roads, and the proposed iterative Gaussian Process Regression can extract road boundary points on varied road shapes and traffic conditions. Meanwhile, the proposed road boundary detection method can achieve real-time performance with an average of 70.5 ms per frame.      

Simple method of calibration of conventional sodar antenna system

The accurate estimation of sodar antenna parameters, back-scattering cross-section and a knowledge of acoustic absorption in the atmospheric air are needed in case structure parameters are to be computed. In the paper a simple method using a theoretical antenna directivity pattern, together with measurements of transduction characteristics of the acoustic transducer has been suggested. The method has been used for two sodars belonging to the Russian Academy (Sodar Latan-I) and the National Physical Laboratory, New Delhi, The theoretically and experimentally determined directivities of the Sodar Transducer Systems have been compared and it has been found that they coincide rather satisfactorily within the angles at which the paraboloids of sodars are seen from their respective foci. Computed thermal structure parameter values using Sodar Latan-I based on the above approach have been found to be comparable with the values computed from microthermal data collected simulaneously at the same place     

Structural robustness of city road networks based on community

Road network robustness is the ability of a road network to operate correctly under a wide range of attacks. A structural robustness analysis can describe the survivability of a city road network that is under attack and can help improve functions such as urban planning and emergency response. In this paper, a novel approach is presented to quantitatively evaluate road network robustness based on the community structure derived from a city road network, in which communities refer to those densely connected subsets of nodes that are sparsely linked to the remaining network. First, a road network is reconstructed into a set of connected communities. Then, successive simulated attacks are conducted on the reconstructed road networks to test the performance of the networks under attack. The performance of the networks is represented by efficiency and the occurrence of fragmentation. Three attack strategies, including a random attack and two intentional attacks, are performed to evaluate the survivability of the road network under different situations. Contrary to the traditional road segment-based approach, the community-based robustness analysis on a city road network shows distinct structural diversity between communities, providing greater insight into network vulnerability under intentional attacks. Six typical city road networks on three different continents are used to demonstrate the proposed approach. The evaluation results reveal an important feature of the structure of city road networks from a community-based perspective, i.e., that the structure is robust under random failure but fragile under intentional attack. This result is highly consistent in different city road network forms.     

硅片处理预对准系统的研究

介绍了所研制的12 in硅片预对准系统．首先,根据硅片预对准系统的任务和流程设计了系统的结构．其次,设计了预对准检测算法,采用最小二乘圆法对硅片圆心进行定位;提出了检测硅片缺口的边缘变化率法和计算缺口基准点的曲线拟合法．对预对准系统进行了误差分析．最后,采用光学式预对准方法,对12 in硅片进行了预对准实验研究．实验结果表明硅片缺口的重复定位精度小于48 μm,预对准时间为23 s,满足设计要求．