A Multimedia System for Route Sharing and Video-Based Navigation

2006 IEEE International Conference on Multimedia and Expo Pub Date : 2006-07-09 DOI:10.1109/ICME.2006.262553

Wen Wu, Jie Yang, Jing Zhang

{"title":"A Multimedia System for Route Sharing and Video-Based Navigation","authors":"Wen Wu, Jie Yang, Jing Zhang","doi":"10.1109/ICME.2006.262553","DOIUrl":null,"url":null,"abstract":"Trip planning and in-vehicle navigation are crucial tasks for easier and safer driving. The existing navigation systems are based on machine intelligence without allowing human knowledge incorporation. These systems give turn guidance with abstract visual instruction and have not reached the potential of minimizing driver's cognitive load, which is the amount of mental processing power required. In this paper, we describe the development of a multimedia system that makes driving and navigation safer and easier by offering tools for route sharing in trip planning and video-based route guidance during driving. The system provides a multimodal interface for a user to share his/her route with others by drawing on a digital map, naturally incorporating human knowledge into the trip planning process. The system gives driving instructions by overlaying navigational arrows onto live video and providing synthesized voice to reduce the driver's cognitive load, in addition to presenting landmark images for key maneuvers. We describe our observations which had motivated the development of the system, detailed architecture and user interfaces, and finally discusses our initial test findings in the real-road driving context","PeriodicalId":339258,"journal":{"name":"2006 IEEE International Conference on Multimedia and Expo","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2006.262553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

Abstract

Trip planning and in-vehicle navigation are crucial tasks for easier and safer driving. The existing navigation systems are based on machine intelligence without allowing human knowledge incorporation. These systems give turn guidance with abstract visual instruction and have not reached the potential of minimizing driver's cognitive load, which is the amount of mental processing power required. In this paper, we describe the development of a multimedia system that makes driving and navigation safer and easier by offering tools for route sharing in trip planning and video-based route guidance during driving. The system provides a multimodal interface for a user to share his/her route with others by drawing on a digital map, naturally incorporating human knowledge into the trip planning process. The system gives driving instructions by overlaying navigational arrows onto live video and providing synthesized voice to reduce the driver's cognitive load, in addition to presenting landmark images for key maneuvers. We describe our observations which had motivated the development of the system, detailed architecture and user interfaces, and finally discusses our initial test findings in the real-road driving context

查看原文本刊更多论文

一种多媒体路由共享与视频导航系统

行程规划和车载导航是实现更轻松、更安全驾驶的关键任务。现有的导航系统以机器智能为基础，不允许人类知识的加入。这些系统以抽象的视觉指令提供转弯引导，并没有达到最小化驾驶员认知负荷的潜力，这是所需的心理处理能力的数量。在本文中，我们描述了一个多媒体系统的开发，该系统通过提供旅行规划中的路线共享和驾驶过程中基于视频的路线引导工具，使驾驶和导航更安全，更容易。该系统提供了一个多模式的界面，用户可以通过在数字地图上绘图来与他人分享自己的路线，自然地将人类的知识融入到行程规划过程中。该系统通过将导航箭头叠加到实时视频上，并提供合成语音来提供驾驶指令，以减少驾驶员的认知负荷，此外还为关键操作提供地标图像。我们描述了我们的观察结果，这些观察结果推动了系统的开发，详细的架构和用户界面，最后讨论了我们在真实道路驾驶环境中的初步测试结果

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2006 IEEE International Conference on Multimedia and Expo

自引率

0.00%

发文量