Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Grigorescu, Sorin"'
Autor:
Grigorescu, Sorin, Zaha, Mihai
Publikováno v:
Journal of Field Robotics, August 2024, pp. 1-19
The underlying framework for controlling autonomous robots and complex automation applications are Operating Systems (OS) capable of scheduling perception-and-control tasks, as well as providing real-time data communication to other robotic peers and
Externí odkaz:
http://arxiv.org/abs/2409.01241
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
Autor:
Ginerica, Cosmin, Zaha, Mihai, Gogianu, Florin, Busoniu, Lucian, Trasnea, Bogdan, Grigorescu, Sorin
Publikováno v:
IEEE Robotics and Automation Letters, 2021
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is significant work in the area of object detection, tracking and observations p
Externí odkaz:
http://arxiv.org/abs/2107.08690
Autor:
Trasnea, Bogdan, Ginerica, Cosmin, Zaha, Mihai, Macesanu, Gigel, Pozna, Claudiu, Grigorescu, Sorin
Publikováno v:
Sensors 2021, 21(11), 3606
Autonomous mobile robots are usually faced with challenging situations when driving in complex environments. Namely, they have to recognize the static and dynamic obstacles, plan the driving path and execute their motion. For addressing the issue of
Externí odkaz:
http://arxiv.org/abs/2106.00988
In this paper, we introduce a learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles, coined LVD-NMPC. LVD-NMPC uses an a-priori process model and a learned vision dynamics model used to calculate the dy
Externí odkaz:
http://arxiv.org/abs/2105.13038
Forest roads in Romania are unique natural wildlife sites used for recreation by countless tourists. In order to protect and maintain these roads, we propose RovisLab AMTU (Autonomous Mobile Test Unit), which is a robotic system designed to autonomou
Externí odkaz:
http://arxiv.org/abs/2105.13754
Autor:
Grigorescu, Sorin, Cocias, Tiberiu, Trasnea, Bogdan, Margheri, Andrea, Lombardi, Federico, Aniello, Leonardo
Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides gold
Externí odkaz:
http://arxiv.org/abs/2009.11722
In this paper, we propose an object reconstruction apparatus that uses the so-called Generic Primitives (GP) to complete shapes. A GP is a 3D point cloud depicting a generalized shape of a class of objects. To reconstruct the objects in a scene we fi
Externí odkaz:
http://arxiv.org/abs/2006.02098
Publikováno v:
Journal of Field Robotics, Online ISSN:1556-4967, 2019
The last decade witnessed increasingly rapid progress in self-driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence. The objective of this paper is to survey the current state-of-the-art on
Externí odkaz:
http://arxiv.org/abs/1910.07738
Publikováno v:
MIWAI 2019 THE 13TH MULTI-DISCIPLINARY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE MIWAI 2019 - THE 13TH MULTI-DISCIPLINARY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, NOVEMBER 17-19, 2019. KUALA LUMPUR, MALAYSIA
Driving in dynamically changing traffic is a highly challenging task for autonomous vehicles, especially in crowded urban roadways. The Artificial Intelligence (AI) system of a driverless car must be able to arbitrate between different driving strate
Externí odkaz:
http://arxiv.org/abs/1909.09418
Autonomous vehicles are controlled today either based on sequences of decoupled perception-planning-action operations, either based on End2End or Deep Reinforcement Learning (DRL) systems. Current deep learning solutions for autonomous driving are su
Externí odkaz:
http://arxiv.org/abs/1906.10971