摘要：【中文】本发明实施例提供一种导航产品的测试方法和设备。本发明的导航产品的测试设备，所述测试设备包括测试主机和至少一个测试终端：所述测试终端向所述测试主机发送第一触发指令，所述第一触发指令用于指示所述测试主机截取当前时刻的比对信息；所述测试终端接收所述测试主机发送的所述当前时刻的比对信息；所述测试终端根据问题描述模板和所述当前时刻的比对信息生成问题描述信息，所述问题描述模板包括基本描述信息和待填写区域，所述待填写区域用于接收用户输入的描述信息；所述测试终端向所述测试主机发送问题描述信息，所述问题描述信息用于表示所述导航产品在测试过程中出现的问题。本发明实施例可以提升问题描述的准确性。 【EN】The embodiment of the invention provides a method and equipment for testing a navigation product. The test equipment of the navigation product comprises a test host and at least one test terminal: the test terminal sends a first trigger instruction to the test host, wherein the first trigger instruction is used for indicating the test host to intercept comparison information at the current moment; the test terminal receives the comparison information of the current moment sent by the test host; the test terminal generates question description information according to a question description template and the comparison information of the current moment, wherein the question description template comprises basic description information and a to-be-filled area, and the to-be-filled area is used for receiving the description information input by a user; and the test terminal sends problem description information to the test host, wherein the problem description information is used for representing problems of the navigation product in the test process. The embodiment of the invention can improve the accuracy of problem description.

摘要：【中文】本申请公开了一种基于单目视觉的图像检测方法、装置及存储设备，该方法包括：利用输出为车辆类型的第一神经网络模型获得基于单目视觉的图像中车辆的类型；根据获得的车辆的类型，利用输出为三维尺寸偏差的第二神经网络模型获得基于单目视觉的图像中车辆的三维尺寸偏差；根据所述车辆的三维尺寸偏差以及预先设置的该类型车辆的数据获得所述图像中车辆在世界坐标系的三维坐标。本申请能够取得的有益效果在于，获得目标车辆的3D深度信息，可以为驾驶的车辆提供更多的周围环境的信息，以便驾驶的车辆更加快速的做出判断。 【EN】The application discloses an image detection method, an image detection device and storage equipment based on monocular vision, wherein the method comprises the following steps: obtaining the type of the vehicle in the image based on the monocular vision by using the first neural network model with the output as the vehicle type; obtaining a three-dimensional size deviation of the vehicle in the monocular vision-based image by using a second neural network model which outputs the three-dimensional size deviation according to the type of the obtained vehicle; and obtaining the three-dimensional coordinates of the vehicle in the world coordinate system in the image according to the three-dimensional size deviation of the vehicle and preset data of the vehicle of the type. The method and the device have the advantages that the 3D depth information of the target vehicle is obtained, and more information of the surrounding environment can be provided for the driven vehicle, so that the driven vehicle can make judgment more quickly.

摘要：【中文】本发明提供了一种车辆检测方法、装置、前车防撞预警设备及计算机可读存储介质，其中，车辆检测方法包括：采集前方车辆正样本图像；获取该前方车辆正样本图像的大小分布和/或长宽比分布；依据该大小分布和/或长宽比分布对该前方车辆正样本图像进行缩放得到缩放后的图像；根据该缩放后的图像对该前方车辆正样本图像进行检测。通过对前方车辆图像的上述处理，解决了现有技术中在车辆检测过程中，没有针对车辆检测的实际情景优化搜索空间，导致车辆检测方法计算开销较大以及准确率较低的问题，通过优化搜索空间，降低了计算开销，提高了准确率和召回率。 【EN】The invention provides a vehicle detection method, a vehicle detection device, a front vehicle anti-collision early warning device and a computer readable storage medium, wherein the vehicle detection method comprises the following steps: acquiring a front vehicle positive sample image; acquiring the size distribution and/or the aspect ratio distribution of the front vehicle positive sample image; zooming the front vehicle positive sample image according to the size distribution and/or the aspect ratio distribution to obtain a zoomed image; and detecting the front vehicle positive sample image according to the zoomed image. By the processing of the front vehicle image, the problems that in the vehicle detection process in the prior art, the calculation cost of the vehicle detection method is high and the accuracy is low due to the fact that the search space is not optimized according to the actual situation of vehicle detection are solved, the calculation cost is reduced by optimizing the search space, and the accuracy and the recall rate are improved.

摘要：【中文】本发明提供一种地图POI反馈方法及装置，该方法，包括：接收用户输入的关键字；从数据库中检索出与所述关键字相关的兴趣点POI，得到初始POI列表；通过当前排序模型对所述初始POI列表中的前N项POI进行排序，得到排序后的POI列表，其中，所述当前排序模型是通过机器学习排序方法训练得到的模型；N为大于1的自然数。从而可以向用户反馈排序准确度高的POI列表，提高用户的检索效率。 【EN】The invention provides a map POI feedback method and a device, wherein the method comprises the following steps: receiving keywords input by a user; searching out the POI related to the keywords from a database to obtain an initial POI list; sequencing the first N POIs in the initial POI list through a current sequencing model to obtain a sequenced POI list, wherein the current sequencing model is a model obtained by training through a machine learning sequencing method; n is a natural number greater than 1. Therefore, the POI list with high sequencing accuracy can be fed back to the user, and the retrieval efficiency of the user is improved.

摘要：【中文】本申请提供一种易受攻击人群区域的确定方法、装置、设备及存储介质，该方法包括：根据道路的传感器采集信息，确定道路的道路特征和/或交通标识，传感器采集信息包括点云数据、图像；根据道路特征和/或交通标识，识别道路的易受攻击人群区域；根据易受攻击人群区域的位置信息，建立易受攻击人群区域图层，易受攻击人群区域图层包括易受攻击人群区域；根据易受攻击人群区域的位置信息和道路模型的位置信息，建立易受攻击人群区域图层与高精度地图中道路图层之间的映射关系，以生成目标高精度地图，道路图层中包括道路模型的位置信息。实现了在高精度地图中对易受攻击人群区域的确定。 【EN】The application provides a method, a device, equipment and a storage medium for determining a vulnerable crowd area, wherein the method comprises the following steps: determining road characteristics and/or traffic identification of a road according to sensor acquisition information of the road, wherein the sensor acquisition information comprises point cloud data and an image; identifying vulnerable crowd areas of the road according to the road characteristics and/or the traffic identification; establishing a vulnerable crowd region layer according to the position information of the vulnerable crowd region, wherein the vulnerable crowd region layer comprises the vulnerable crowd region; and according to the position information of the vulnerable crowd area and the position information of the road model, establishing a mapping relation between the vulnerable crowd area layer and the road layer in the high-precision map so as to generate the target high-precision map, wherein the road layer comprises the position information of the road model. The determination of the vulnerable crowd area in the high-precision map is realized.

摘要：【中文】本申请公开了一种地图数据及地图更新方法、装置、终端设备及服务器，该方法包括：获取对目标数据的编辑操作；目标数据包括工程数据，根据对目标数据的编辑操作得到更新后的工程数据并且对更新后的工程数据进行编译得到PSF数据；根据目标数据发生变更的内容调用并填充预设的要素模板得到变更履历；将变更履历和PSF数据上传至服务器。本申请能够取得的有益效果在于，地图更新软件的操作界面简单，普通用户发现现场变化直接进行现场操作，快速完成数据更新，降低了人工和时间成本；流程自动化处理，用户在终端设备上操作后，后续无需人工操作，缩短了数据更新周期，节约了数据生产成本；提供容错处理，能够监督并防止用户在终端设备上进行不当操作。 【EN】The application discloses a map data and map updating method, a map data and map updating device, terminal equipment and a server, wherein the method comprises the following steps: acquiring editing operation on target data; the target data comprises engineering data, updated engineering data is obtained according to editing operation on the target data, and the updated engineering data is compiled to obtain PSF data; calling and filling a preset element template according to the changed content of the target data to obtain a change history; and uploading the alteration history and the PSF data to a server. The map updating method and the map updating system have the advantages that the operation interface of the map updating software is simple, common users can directly carry out field operation when finding field changes, data updating is rapidly completed, and labor and time costs are reduced; the process is automatically processed, and after the user operates the terminal equipment, the subsequent manual operation is not needed, so that the data updating period is shortened, and the data production cost is saved; a fault tolerant process is provided which can supervise and prevent a user from performing an improper operation on a terminal device.

摘要：【中文】本申请提供一种定位图层生成方法、装置、高精度地图及设备，该方法包括：获取点云数据中路面之上物体的高度信息，然后根据路面之上物体的高度信息生成多个几何线条，多个几何线条用于表示路面之上物体的高度相关信息；最后生成定位图层，定位图层中包括多个几何线条。实现了对定位图层的生成，并大大减少了定位图层的数据量。 【EN】The application provides a positioning layer generation method, a positioning layer generation device, a high-precision map and high-precision equipment, wherein the method comprises the following steps: acquiring height information of an object above a road surface in the point cloud data, and then generating a plurality of geometric lines according to the height information of the object above the road surface, wherein the geometric lines are used for representing height related information of the object above the road surface; and finally, generating a positioning layer, wherein the positioning layer comprises a plurality of geometric lines. The generation of the positioning layer is realized, and the data volume of the positioning layer is greatly reduced.

摘要：【中文】本发明提供一种图像识别方法、装置及系统，该方法，包括：获取当前的高精度地图；获取高精度地图中标注的地图要素；根据标注的地图要素逆向生成目标样本数据；将目标样本数据输入到目标深度学习模型的样本库中，通过目标深度学习模型识别出图像获取设备所拍摄的图像中的地图要素。本发明可以从高精度地图中获取标注的地图要素，然后基于该标注的地图要素逆向生成目标样本数据，利用该目标样本数据对深度学习模型进行训练，从而可以使得训练出的目标深度学习模型具有更高的识别精度。 【EN】The invention provides an image identification method, device and system, wherein the method comprises the following steps: acquiring a current high-precision map; obtaining map elements marked in a high-precision map; reversely generating target sample data according to the marked map elements; target sample data is input into a sample library of a target deep learning model, and map elements in an image shot by the image acquisition equipment are identified through the target deep learning model. According to the method, the marked map elements can be obtained from the high-precision map, target sample data are generated reversely based on the marked map elements, and the deep learning model is trained by using the target sample data, so that the trained deep learning model has higher identification precision.

摘要：【中文】本发明提供一种搜索方法和设备。该方法包括：根据用户输入的关键词和用户所在的城市，构建查询语句；在每个城市搜索所述查询语句，确定与所述关键词有关的相关城市；根据所述查询语句在所述相关城市的搜索结果，确定所述相关城市的打分值；根据所述相关城市的打分值，确定返回结果。和现有技术中依据映射词典查找到映射城市，将所有映射城市的搜索结果全部展示给用户相比，上述搜索方法可避免用户从大量的搜索结果进行定位和查找的过程，提升了用户使用体验。 【EN】The invention provides a searching method and searching equipment. The method comprises the following steps: constructing a query sentence according to the keywords input by the user and the city where the user is located; searching the query statement in each city, and determining related cities related to the keywords; determining the score value of the relevant city according to the search result of the query statement in the relevant city; and determining a return result according to the score value of the relevant city. Compared with the prior art that the mapping city is found according to the mapping dictionary and the search results of all the mapping cities are displayed to the user, the searching method can avoid the process that the user locates and finds from a large number of search results, and improves the use experience of the user.

摘要：【中文】本公开提供一种标牌识别方法和装置、电子设备，包括：接收对象输入的点云数据，其中，点云数据包括标牌的点云数据，根据点云数据获取每个点的法向量，并通过聚类算法对点云数据进行聚类得到至少一个类别，根据法向量、至少一个类别的各类别的平面度和平面拟合误差对至少一个类别进行过滤，得到一个目标类别，对目标类别中的点云数据进行旋转处理，得到平面点云数据，根据平面点数据对应的凸包点确定角点，根据从点云数据中获取的每个点的强度信息，从点云数据中确定与角点对应的标牌的真实角点，以便基于真实角点对电子地图进行更新并显示，避免现有技术中通过栅格化处理造成的效率较低等问题，实现了提高效率的技术效果。 【EN】The present disclosure provides a sign identification method and apparatus, and an electronic device, including: receiving point cloud data input by an object, wherein the point cloud data comprises point cloud data of a sign, acquiring a normal vector of each point according to the point cloud data, clustering the point cloud data through a clustering algorithm to obtain at least one category, filtering at least one category according to the normal vector, the flatness of each category of the at least one category and the plane fitting error to obtain a target category, rotating the point cloud data in the target category to obtain plane point cloud data, determining an angular point according to a convex hull point corresponding to the plane point data, determining a real corner of the sign corresponding to the corner from the point cloud data according to the intensity information of each point obtained from the point cloud data, therefore, the electronic map is updated and displayed based on the real corner points, the problems of low efficiency and the like caused by rasterization in the prior art are solved, and the technical effect of improving the efficiency is realized.