Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Sundararajan, Narasimhan"'
In this paper, a Priority-based Dynamic REsource Allocation with decentralized Multi-task assignment (P-DREAM) approach is presented to protect a territory from highly manoeuvring intruders. In the first part, static optimization problems are formula
Externí odkaz:
http://arxiv.org/abs/2307.09954
This paper presents a Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) model for maneuver planning. Traditional rule-based maneuver planning approaches often have to improve their abilities to handle the variabilities of real-w
Externí odkaz:
http://arxiv.org/abs/2306.09055
Building segmentation in high-resolution InSAR images is a challenging task that can be useful for large-scale surveillance. Although complex-valued deep learning networks perform better than their real-valued counterparts for complex-valued SAR data
Externí odkaz:
http://arxiv.org/abs/2212.07084
Autor:
Kulkarni, Eeshan1 (AUTHOR) eeshank@iisc.ac.in, Sundararajan, Narasimhan1 (AUTHOR), Sundaram, Suresh1 (AUTHOR)
Publikováno v:
Unmanned Systems. Nov2024, Vol. 12 Issue 6, p1001-1022. 22p.
To ensure the safety and efficiency of its maneuvers, an Autonomous Vehicle (AV) should anticipate the future intentions of surrounding vehicles using its sensor information. If an AV can predict its surrounding vehicles' future trajectories, it can
Externí odkaz:
http://arxiv.org/abs/2205.10092
This paper presents a coupled, neural network-aided longitudinal cruise and lateral path-tracking controller for an autonomous vehicle with model uncertainties and experiencing unknown external disturbances. Using a feedback error learning mechanism,
Externí odkaz:
http://arxiv.org/abs/2106.11716
This paper provides a new solution approach to a multi-player perimeter defense game, in which the intruders' team tries to enter the territory, and a team of defenders protects the territory by capturing intruders on the perimeter of the territory.
Externí odkaz:
http://arxiv.org/abs/2102.07381
This paper proposes a novel Gap Reduced Minimum Error Robust Simultaneous (GRMERS) estimator for resource-constrained Nano Aerial Vehicle (NAV) that enables a single estimator to provide simultaneous and robust estimation for a given N unstable and u
Externí odkaz:
http://arxiv.org/abs/2012.06756
Publikováno v:
In Applied Soft Computing February 2024 152
Autor:
Mohanty, Nishant, Gadde, Mohitvishnu S., Sundaram, Suresh, Sundararajan, Narasimhan, Sujit, P. B.
One of the crucial problems in robotic swarm-based operation is to search and neutralize heterogeneous targets in an unknown and uncertain environment, without any communication within the swarm. Here, some targets can be neutralized by a single robo
Externí odkaz:
http://arxiv.org/abs/2001.11710