Zobrazeno 1 - 10
of 468
pro vyhledávání: '"Spalanzani, A."'
Accurate prediction of driving scenes is essential for road safety and autonomous driving. Occupancy Grid Maps (OGMs) are commonly employed for scene prediction due to their structured spatial representation, flexibility across sensor modalities and
Externí odkaz:
http://arxiv.org/abs/2407.15675
Autor:
Singamaneni, Phani Teja, Bachiller-Burgos, Pilar, Manso, Luis J., Garrell, Anaís, Sanfeliu, Alberto, Spalanzani, Anne, Alami, Rachid
Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely and appropriately in spaces
Externí odkaz:
http://arxiv.org/abs/2311.06922
Motion prediction is a challenging task for autonomous vehicles due to uncertainty in the sensor data, the non-deterministic nature of future, and complex behavior of agents. In this paper, we tackle this problem by representing the scene as dynamic
Externí odkaz:
http://arxiv.org/abs/2308.04303
Prediction of dynamic environment is crucial to safe navigation of an autonomous vehicle. Urban traffic scenes are particularly challenging to forecast due to complex interactions between various dynamic agents, such as vehicles and vulnerable road u
Externí odkaz:
http://arxiv.org/abs/2301.04454
Publikováno v:
24th IEEE International Conference on Intelligent Transportation Systems - ITSC2021, Sep 2021, Indianapolis, United States
Urban autonomous driving in the presence of pedestrians as vulnerable road users is still a challenging and less examined research problem. This work formulates navigation in urban environments as a multi objective reinforcement learning problem. A d
Externí odkaz:
http://arxiv.org/abs/2110.05205
Publikováno v:
16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec 2020, Shenzhen, China
Decision making for autonomous driving in urban environments is challenging due to the complexity of the road structure and the uncertainty in the behavior of diverse road users. Traditional methods consist of manually designed rules as the driving p
Externí odkaz:
http://arxiv.org/abs/2010.13407
Autor:
Regiane Nogueira Spalanzani, Adriele Celine Siqueira, Damaris Krul, Thaís Muniz Vasconcelos, Érika Medeiros dos Santos, Luiza Souza Rodrigues, Libera Maria Dalla Costa
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 27, Iss , Pp 103291- (2023)
Introdução/Objetivo: Candidíase invasiva é a principal doença fúngica associada à assistência à saúde, com alta morbimortalidade. O tratamento imediato e preciso é essencial para a sobrevida do paciente, idealmente guiado pela identificaç
Externí odkaz:
https://doaj.org/article/faf41a05544f435e827325d5678c26f6
Autonomous Vehicles navigating in urban areas have a need to understand and predict future pedestrian behavior for safer navigation. This high level of situational awareness requires observing pedestrian behavior and extrapolating their positions to
Externí odkaz:
http://arxiv.org/abs/1809.06045
Autor:
Ferrier-Barbut, Eleonore, Vaufreydaz, Dominique, David, Jean-Alix, Lussereau, Jérôme, Spalanzani, Anne
Publikováno v:
The 2018 IEEE Intelligent Vehicles Symposium (IV'18), Jun 2018, Changshu, Suzhou, China
This article deals with the specific context of an autonomous car navigating in an urban center within a shared space between pedestrians and cars. The driver delegates the control to the autonomous system while remaining seated in the driver's seat.
Externí odkaz:
http://arxiv.org/abs/1805.03563
Autor:
Singamaneni, Phani Teja, Bachiller-Burgos, Pilar, Manso, Luis J., Garrell, Anaís, Sanfeliu, Alberto, Spalanzani, Anne, Alami, Rachid
Publikováno v:
International Journal of Robotics Research; Sep2024, Vol. 43 Issue 10, p1533-1572, 40p