作者: 高阶自动驾驶(通常指SAE定义的L3及以上级别)确实倾向于使用高精地图(High Definition Maps,HD Maps)来增强其系统的能力和安全性。高精地图提供了远超传统导航地图的详细信息,包括道路几何结构、路缘石位置、车道标记、交通标志、路面坡度、交通信号位置等静态信息,以及可能的动态信息更新,如临时施工区、道路封闭...
City, regional and country maps from Kober-Kuemmerly+Frey can be generated with the optimum print or screen resolution for every application. Use our maps in your image brochures and travel catalogues, or on your website. Or add an attractive location map to your real estate flyer. ...
Autonomous transfer vehicles (ATVs) can be considered as one of the critical components of context-aware structured smart factories in Industry 4.0 era. Conventional mapping methods such as grid maps can provide information for navigation, but they are not enough for complex environments that require...
High-definition maps for autonomous vehicles are detailed digital maps that provide precise information about road geometry, lane markings, traffic signs, and other relevant features, essential for safe and efficient autonomous navigation. These are utilized by autonomous vehicles to accuratel...
Maps Stationary physical assets along highways to support use cases for ADAS and Self-Driving systems, including alignment with federal work zone standards. Specialty HD maps for parking lots, garages, driveways, alleys, and other non-standard features. ...
With the beginning market introduction of high-definition maps (HD maps) by major map providers, another inexpensive tool to enhance data fusion based localization algorithms is available. Those maps offer means to further improve the accuracy and integrity of vehicle position estimation, especially in...
Through OTA, high-definition maps are always automatically updated, improving user convenience. These technologies support world leading advanced driver assistance technologies developed by Nissan, “ProPILOT 2.0”, which engages with the navigation system enables ha...
Maps are now rendered at high quality utilizing every pixel on screen to deliver crisp rendering of geometry and labels. Besides providing stunning map visuals, this update significantly improves speed in rendering large amounts of map features and provides support for an unlimited number of layers ...
As a result, maps assembled using such techniques may not have fresh data. For example, roads may be updated or modified on a much more frequent basis (e.g., rate of roughly 5-10% per year) than a survey team may survey a given area. For example, survey cars may be expensive and...
Up-to-date High-Definition (HD) maps are essential for self-driving cars. To achieve constantly updated HD maps, we present a deep neural network (DNN), Diff-Net, to detect changes in them. Compared to traditional methods based on object detectors, the essential design in our work is a ...