{"title":"The Potential of Low-Altitude Airspace: The Future of Urban Air Transportation","authors":"Hailong Huang;Jiangcheng Su;Fei-Yue Wang","doi":"10.1109/TIV.2024.3483889","DOIUrl":"https://doi.org/10.1109/TIV.2024.3483889","url":null,"abstract":"Many megacities, such as London, New York, Paris, Tokyo, Beijing, and Shanghai, have been born due to urban- ization. While citizens enjoy the convenience of city life, such cities suffer from drawbacks of transportation: the average commute time has been increasing over the past years. With the maturity of electric vertical take-off and landing (eVTOL) aircraft technology, decision-makers have started to look upward to the low-altitude airspace. This blue space has the potential to reshape the transportation system and shorten the average travel time in daily life. To explore this emerging area, we held a Distributed/Decentralized Hybrid Workshop on Sustain- ability for Transportation and Logistics (DHW-STL), and this letter summarizes the outcomes of our discussion. Here, we first pinpoint the pain issues of conventional transportation. Then, we present the emerging low-altitude airspace transportation option, followed by a discussion on how such a new transportation option can integrate with the conventional ground-based transportation system. Some thoughts about the pathway to further development of the integrated transportation system are shared finally.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 8","pages":"5250-5254"},"PeriodicalIF":14.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Zhou;Jingwei Ge;Jing Yang;Peijun Ye;Yuchen Li;Levente Kovács
{"title":"Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration","authors":"Rui Zhou;Jingwei Ge;Jing Yang;Peijun Ye;Yuchen Li;Levente Kovács","doi":"10.1109/TIV.2024.3476326","DOIUrl":"https://doi.org/10.1109/TIV.2024.3476326","url":null,"abstract":"This perspective presents a short yet comprehensive discussion on the rapid advancements in the field of intelligent system testing enhancing by large models. We delve into the pivotal aspects of testing, elucidating the roles of the Testing Operating System (TOS), Testing Foundational Intelligence (TFI), and Testing Scenario Engineering (TSE), and also the challenges they face from a testing perspective.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 8","pages":"5247-5249"},"PeriodicalIF":14.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TIV.2024.3462869","DOIUrl":"https://doi.org/10.1109/TIV.2024.3462869","url":null,"abstract":"","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 7","pages":"5242-5242"},"PeriodicalIF":14.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10693701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the IEEE","authors":"","doi":"10.1109/TIV.2024.3462873","DOIUrl":"https://doi.org/10.1109/TIV.2024.3462873","url":null,"abstract":"","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 7","pages":"5241-5241"},"PeriodicalIF":14.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10693702","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building Supporting SLAM Community for IEEE TIV: From DHWs to Smart Academic Organizations","authors":"Fei-Yue Wang","doi":"10.1109/TIV.2024.3451250","DOIUrl":"https://doi.org/10.1109/TIV.2024.3451250","url":null,"abstract":"I would like to share with you the following information","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 7","pages":"5119-5123"},"PeriodicalIF":14.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart Mobility With Agent-Based Foundation Models: Towards Interactive and Collaborative Intelligent Vehicles","authors":"Bingyi Xia;Peijia Xie;Jiankun Wang","doi":"10.1109/TIV.2024.3457759","DOIUrl":"https://doi.org/10.1109/TIV.2024.3457759","url":null,"abstract":"This letter reports the insights gained during a Distributed/Decentralized Hybrid Workshop on Foundation/Infrastructure Intelligence (FII), where we discussed the evolving role of Foundation Models in the field of intelligent vehicles. These models, pre-trained on multimodal data, have emerged as pivotal in the landscape of intelligent vehicles by leveraging their capabilities for high-level reasoning. Ongoing research focuses on these models to further improve scene perception and decision-making, aiming to develop adaptive systems for robot navigation and autonomous driving. However, for smart mobility across the Cyber-Physical-Social space, foundation intelligence should learn human-level knowledge to perform sophisticated interactions and collaborations based on human feedback. Agent-based Foundation Models, as the new training paradigm, can generate cross-domain actions consistent with perception information, paving the way to realize interactive and collaborative agents. This letter discusses the challenges of enhancing and leveraging the scene understanding and spatial reasoning capabilities of the pre-trained foundation model for smart mobility. It also offers insights into the embodied employment of foundation and infrastructure intelligence in enhancing multimodal interactions between robots, environments, and humans.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 7","pages":"5130-5133"},"PeriodicalIF":14.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haoxuan Ma;Yifan Liu;Qinhua Jiang;Brian Yueshuai He;Xishun Liao;Jiaqi Ma
{"title":"Mobility AI Agents and Networks","authors":"Haoxuan Ma;Yifan Liu;Qinhua Jiang;Brian Yueshuai He;Xishun Liao;Jiaqi Ma","doi":"10.1109/TIV.2024.3454285","DOIUrl":"https://doi.org/10.1109/TIV.2024.3454285","url":null,"abstract":"Intelligent vehicles and smart mobility systems are at the forefront of transportation evolution, yet effective management of these new mobility technologies and services are non-trivial. This perspective presents an Intelligent Mobility System Digital Twin (MSDT) framework as a solution. Our framework uniquely maps human beings and vehicles to AI agents, and the mobility systems to AI networks, creating realistic digital simulacra of the physical mobility system. By integrating AI agents and AI networks, this framework offers unprecedented capabilities in prediction and automated simulation of the entire mobility systems, thereby improving planning, operations, and decision-making in smart cities.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 7","pages":"5124-5129"},"PeriodicalIF":14.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}