Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Malika Meghjani"'
Autor:
Scott Drew Pendleton, Hans Andersen, Xinxin Du, Xiaotong Shen, Malika Meghjani, You Hong Eng, Daniela Rus, Marcelo H. Ang
Publikováno v:
Machines, Vol 5, Iss 1, p 6 (2017)
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the envir
Externí odkaz:
https://doaj.org/article/abdfe9dec3654b44b40253e67430c8cc
Autor:
Gong Chen, Duong Nguyen-Nam, Malika Meghjani, Phan Minh Tri, Marcel Bartholomeus Prasetyo, Mohammad Alif Daffa, Tony Q. S. Quek
Publikováno v:
2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).
Publikováno v:
OCEANS 2022, Hampton Roads.
Autor:
Yee Wang Sui, Koh Xian Ming, Malika Meghjani, Nagarajan Raghavan, Cyrille Jegourel, Keegan Kang
Publikováno v:
OCEANS 2022, Hampton Roads.
Autor:
Niharika Shrivastava, Malika Meghjani
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
Autor:
Nicholas Michael Bunger, Sahil Panjwani, Malika Meghjani, Zefan Huang, Marcelo H. Ang, Daniela Rus
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
ICRA
Autonomous urban driving among human-driven cars requires a holistic understanding of road rules, driver intents and driving styles. This is challenging as a short-term, single instance, driver intent of lane change may not correspond to their drivin
Autonomous marine environmental monitoring problem traditionally encompasses an area coverage problem which can only be effectively carried out by a multi-robot system. In this paper, we focus on robotic swarms that are typically operated and control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8f379761142e1f8e178c0e1fc8d44d
http://arxiv.org/abs/2012.11641
http://arxiv.org/abs/2012.11641
Autor:
Malika Meghjani, Pamela Wang
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
This paper addresses the multi-searcher multi-target search problem in open ocean environments. It is a challenging problem as the searchers need to trade-off between the capture rate and capture time while accounting for uncertainties due to dynamic
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
This paper addresses intention and trajectory prediction of exo-vehicles in an urban driving environment. Urban environments pose challenging scenarios for self-driving cars, specifically pertaining to traffic light detection, negotiating paths at th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b27cf75a472f7598d910e6eee56339bb
https://doi.org/10.1007/978-3-030-33950-0_30
https://doi.org/10.1007/978-3-030-33950-0_30