dc.contributor.author | Andersen, Hans | |
dc.contributor.author | Shen, Xiaotong | |
dc.contributor.author | Eng, You Hong | |
dc.contributor.author | Rus, Daniela | |
dc.contributor.author | Ang, Marcelo H | |
dc.date.accessioned | 2021-10-27T20:09:41Z | |
dc.date.available | 2021-10-27T20:09:41Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/134890 | |
dc.description.abstract | <jats:p>This article discusses how connected cooperative control of autonomous vehicles (AVs) can help in providing safe and comfortable mobility during unexpected road situations. Driving AVs in urban areas poses a big challenge due to the complexity of the traffic rules as well as unexpected scenarios involved. In these situations, an inter-vehicle communication system can be of great help. Cooperation between multiple AVs is possible with the development of vehicular communication. In particular, state estimation can be improved with multiple sources of information gathered from different vehicles. Cooperative state estimation can also improve robustness against communication failure. With future trajectories shared among nearby vehicles, the motion can be coordinated to make navigation safer and smoother for AVs. For vehicular communication, the IEEE 802.11p standard has been designed to allow information exchange between high-speed cars, and between vehicles and roadside infrastructure. Other wireless communication technologies, such as 3G, 4G, and WiFi, are also suggested.</jats:p> | |
dc.language.iso | en | |
dc.publisher | ASME International | |
dc.relation.isversionof | 10.1115/1.2017-DEC-7 | |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | |
dc.source | ASME | |
dc.title | Connected Cooperative Control of Autonomous Vehicles During Unexpected Road Situations | |
dc.type | Article | |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
dc.contributor.department | Singapore-MIT Alliance in Research and Technology (SMART) | |
dc.relation.journal | Mechanical Engineering | |
dc.eprint.version | Final published version | |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
eprint.status | http://purl.org/eprint/status/PeerReviewed | |
dc.date.updated | 2019-07-17T14:08:59Z | |
dspace.orderedauthors | Andersen, H; Shen, X; Eng, YH; Rus, D; Ang, MH | |
dspace.date.submission | 2019-07-17T14:09:00Z | |
mit.journal.volume | 139 | |
mit.journal.issue | 12 | |
mit.metadata.status | Authority Work and Publication Information Needed | |