Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Nayak, Anshul"'
Autor:
Nayak, Anshul, Eskandarian, Azim
Perception and planning under occlusion is essential for safety-critical tasks. Occlusion-aware planning often requires communicating the information of the occluded object to the ego agent for safe navigation. However, communicating rich sensor info
Externí odkaz:
http://arxiv.org/abs/2312.03296
One of the fundamental challenges in the prediction of dynamic agents is robustness. Usually, most predictions are deterministic estimates of future states which are over-confident and prone to error. Recently, few works have addressed capturing unce
Externí odkaz:
http://arxiv.org/abs/2305.16620
Autor:
Nayak, Anshul Abhijit
Autonomous robots are set to become ubiquitous in the future, with applications ranging from autonomous cars to assistive household robots. These systems must operate in close proximity of dynamic and static objects, including humans and other non-au
Externí odkaz:
https://hdl.handle.net/10919/121330
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help an autonomous vehicle plan its trajectory and avoid collision. However
Externí odkaz:
http://arxiv.org/abs/2205.01887
Autor:
Mehr, Goodarz, Ghorai, Prasenjit, Zhang, Ce, Nayak, Anshul, Patel, Darshit, Sivashangaran, Shathushan, Eskandarian, Azim
Autonomous vehicles promise a future with a safer, cleaner, more efficient, and more reliable transportation system. However, the current approach to autonomy has focused on building small, disparate intelligences that are closed off to the rest of t
Externí odkaz:
http://arxiv.org/abs/2204.02559
Akademický článek
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Akademický článek
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Autor:
Mehr, Goodarz, Ghorai, Prasenjit, Zhang, Ce, Nayak, Anshul, Patel, Darshit, Sivashangaran, Shathushan, Eskandarian, Azim
Publikováno v:
IEEE Intelligent Transportation Systems Magazine; Mar/Apr2023, Vol. 15 Issue 2, p41-57, 17p
Autor:
Nayak, Anshul
Traditionally, underwater vehicles have been using propellers for locomotion but they are not only inefficient but generate large acoustic signature. Researchers have taken inspiration from efficient swimmers like fish to address the issue with alter
Externí odkaz:
http://hdl.handle.net/10919/101811
Publikováno v:
Journal of Materials Engineering & Performance; Apr2006, Vol. 15 Issue 2, p9-9, 1p