Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hatem Darweesh"'
Publikováno v:
IEEE Access, Vol 10, Pp 57759-57782 (2022)
As the operational domain of autonomous vehicles expands, encountering occlusions during navigation becomes unavoidable. Most of the existing research on occlusion-aware motion planning focuses only on the longitudinal motion of the ego vehicle and n
Externí odkaz:
https://doaj.org/article/c970cc11e3b9468fa8a6b2e8223281c4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8346-8359 (2022)
Mapping technologies have improved over time, and autonomous driving techniques have advanced substantially over recent decades. High-definition (HD) maps are key for autonomous driving because of their accurate and rich interpretations of road scene
Externí odkaz:
https://doaj.org/article/4a4918af077c41c488a64565843bd4cf
Publikováno v:
Sensors, Vol 22, Iss 18, p 7056 (2022)
High-definition (HD) mapping is a promising approach to realize highly automated driving (AD). Although HD maps can be applied to all levels of autonomy, their use is particularly beneficial for autonomy levels 4 or higher. HD maps enable AD systems
Externí odkaz:
https://doaj.org/article/5ba1f90366e64308b1fcccfe7d784bc0
Publikováno v:
International Journal of Automotive Engineering, Vol 10, Iss 4, Pp 299-308 (2019)
Estimating the intentions and trajectories of other vehicles is critical to achieving stable, long-term planning and decision making in autonomous driving systems. This paper introduces a novel technique for estimating the intention and trajectory pr
Externí odkaz:
https://doaj.org/article/73cbcc8b317a49e0bc7703adea7d643e
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d06d18cd3981bf810eacb353a1b02d0e
https://doi.org/10.1109/ivworkshops54471.2021.9669253
https://doi.org/10.1109/ivworkshops54471.2021.9669253
Publikováno v:
International Journal of Automotive Engineering. 10:299-308
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65cec65d8d5c7144fbb54954be196e5b
https://doi.org/10.20485/jsaeijae.10.4_299
https://doi.org/10.20485/jsaeijae.10.4_299
Publikováno v:
ITSC
As the autonomy level of self-driving vehicles increases, they will be expected to operate safely in increasingly complex environments. During real-world driving, occlusions are inevitable. Therefore, the ability to accurately identify the visible an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2de9b0e23c845b2dd9e88ddcfbe95d4
Publikováno v:
Frontiers of Digital Transformation ISBN: 9789811513572
Thousands are killed every day in traffic accidents, and drivers are mostly to blame. Autonomous driving technology is the ultimate technological solution to this problem. There are still many unresolved problems with autonomous driving technology, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f047962bd3dd3e57c5d6253a5795d8
https://doi.org/10.1007/978-981-15-1358-9_9
https://doi.org/10.1007/978-981-15-1358-9_9
Autor:
Alexander Carballo, Jacob Lambert, Patiphon Narksri, Naoki Akai, Shunya Seiya, Eijiro Takeuchi, Luis Yoichi Morales, Kazuya Takeda, Hatem Darweesh
Publikováno v:
Journal of Robotics and Mechatronics. 30:563-583
Autonomous mobile robot navigation in real unmodified outdoor areas frequented by people on their business, children playing, fast running bicycles, and even robots, remains a difficult challenge. For eleven years, the Tsukuba Challenge Real World Ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25d4c5c94e329a8eee166a902e416587
https://doi.org/10.20965/jrm.2018.p0563
https://doi.org/10.20965/jrm.2018.p0563
Autor:
Tetsuo Tomizawa, Naoki Akai, Yoshiki Ninomiya, Shinpei Kato, Adi Sujiwo, Luis Yoichi Morales, Hatem Darweesh, Eijiro Takeuchi, Kazuya Takeda
Publikováno v:
Journal of Robotics and Mechatronics. 29:668-684
Planning is one of the cornerstones of autonomous robot navigation. In this paper we introduce an open source planner called “OpenPlanner” for mobile robot navigation, composed of a global path planner, a behavior state generator and a local plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ec6c70f550a0e7ffcfd109f70fd91d
https://doi.org/10.20965/jrm.2017.p0668
https://doi.org/10.20965/jrm.2017.p0668