Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Karimoddini, Ali"'
The trajectory planning problem for a swarm of multiple UAVs is known as a challenging nonconvex optimization problem, particularly due to a large number of collision avoidance constraints required for individual pairs of UAVs in the swarm. In this p
Externí odkaz:
http://arxiv.org/abs/2303.07581
This paper presents continuous dynamic average consensus (DAC) algorithms for a group of agents to estimate the average of their time-varying reference signals cooperatively. We propose consensus algorithms that are robust to agents joining and leavi
Externí odkaz:
http://arxiv.org/abs/2204.04415
This paper introduces a distributed leaderless swarm formation control framework to address the problem of collectively driving a swarm of robots to track a time-varying formation. The swarm's formation is captured by the trajectory of an abstract sh
Externí odkaz:
http://arxiv.org/abs/2204.04412
Autor:
Homaifar, Abdollah, Karimoddini, Ali, Heiges, Mike, Khan, Mubbashar A., Erol, Berat A., Nazmi, Shabnam
Publikováno v:
The ITEA Journal of Test and Evaluation 41 (3), pp. 188-195, 2020
The North Carolina Agriculture and Technical State University (NC A&T) in collaboration with Georgia Tech Research Institute (GTRI) has developed methodologies for creating simulation-based technology tools that are capable of inferring the perceptio
Externí odkaz:
http://arxiv.org/abs/2111.10871
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
This paper presents a novel method for pedestrian detection and tracking by fusing camera and LiDAR sensor data. To deal with the challenges associated with the autonomous driving scenarios, an integrated tracking and detection framework is proposed.
Externí odkaz:
http://arxiv.org/abs/2108.12375
Autor:
Gudeta, Solomon, Karimoddini, Ali
This paper presents a landing controller for a fixed-wing aircraft during the landing phase, ensuring the aircraft reaches the touchdown point smoothly. The landing problem is converted to a finite-time linear quadratic tracking (LQT) problem in whic
Externí odkaz:
http://arxiv.org/abs/2107.05803
New paradigm shifts and 6G technological revolution in vehicular services have emerged toward unmanned driving, automated transportation, and self-driving vehicles. As the technology for autonomous vehicles becomes mature, real challenges come from r
Externí odkaz:
http://arxiv.org/abs/2103.14225
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