Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Erik Ward"'
Autor:
Erik Ward, John Folkesson
Publikováno v:
Intelligent Vehicles Symposium
Trajectory planning for autonomous vehicles should attempt to minimize expected risk given noisy sensor data and uncertain predictions of the near future. In this paper, we present a trajectory planning approach for on-road scenarios where we use a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ed7e6e7e2305d202567562c8a05466
https://doi.org/10.1109/ivs.2018.8500643
https://doi.org/10.1109/ivs.2018.8500643
Publikováno v:
Intelligent Vehicles Symposium
In highway driving scenarios it is important for highly automated driving systems to be able to recognize and predict the intended maneuvers of other drivers in order to make robust and informed decisions. Many methods utilize the current kinematics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5e11202da861ae24279d4ddb21e388
https://doi.org/10.1109/ivs.2018.8500426
https://doi.org/10.1109/ivs.2018.8500426
Autor:
Anna Pernestål Brenden, Lars Svensson, Martin Törngren, Naveen Mohan, Lei Feng, Erik Ward, Lola Masson
Publikováno v:
Intelligent Vehicles Symposium
2018 IEEE Intelligent Vehicles Symposium (IV)
2018 IEEE Intelligent Vehicles Symposium (IV), Jun 2018, Changshu, China. ⟨10.1109/IVS.2018.8500536⟩
2018 IEEE Intelligent Vehicles Symposium (IV)
2018 IEEE Intelligent Vehicles Symposium (IV), Jun 2018, Changshu, China. ⟨10.1109/IVS.2018.8500536⟩
International audience; Highly automated road vehicles need the capability of stopping safely in a situation that disrupts continued normal operation, e.g. due to internal system faults. Motion planning for safe stop differs from nominal motion plann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff674ce69db16dd5563e56ffd0530512
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232815
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232815
Publikováno v:
ITSC
In many traffic situations there are times where interaction with other drivers is necessary and unavoidable in order to safely progress towards an intended destination. This is especially true for merge manoeuvres into dense traffic, where drivers s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ec603743f844dfe5a87d71b32c1a19
https://doi.org/10.1109/itsc.2016.7795596
https://doi.org/10.1109/itsc.2016.7795596
Autor:
John Folkesson, Erik Ward
Publikováno v:
Intelligent Vehicles Symposium
Autonomous vehicles rely on GPS aided by motion sensors to localize globally within the road network. However, not all driving surfaces have satellite visibility. Therefore, it is important to augment these systems with localization based on environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50f8b9c143e776abe1760c545db28901
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192860
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192860
Autor:
Erik Ward, John Folkesson
Publikováno v:
ITSC
Predictions of the future motion of other vehicles in the vicinity of an autonomous vehicle is required for safe operation on trafficked roads. An important step in order to use proper behavioral models for trajectory prediction is correctly classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb15389599fecf46b0993f4e54b2875
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183496
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183496
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-1
Merge scenarios confront drivers with some of the most complicated driving maneuvers in every day driving, requiring anticipatory reasoning of positions of other vehicles, and the own vehicles future trajectory. In congested traffic it might be impos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e15e327d4d0f228913e94376a09c3cd7
https://doi.org/10.1109/tiv.2017.2730588
https://doi.org/10.1109/tiv.2017.2730588
Publikováno v:
SocialCom
Twitter is a popular medium for sharing opinions on TV programs, and the analysis of TV related tweets is attracting a lot of interest. However, when collecting all tweets containing a given TV program title, we obtain a large number of unrelated twe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc29ba6013eddfae692157777bc1d7f
https://doi.org/10.1109/socialcom.2013.119
https://doi.org/10.1109/socialcom.2013.119