13 citations · 17 across the 9 of their papers we have counts for
9 papers
Development of Domain-Invariant Visual Enhancement and Restoration (DIVER) Approach for Underwater Images
Rajini Makam, Sharanya Patil, Dhatri Shankari T M +2
Underwater images suffer severe degradation due to wavelength-dependent attenuation, scattering, and illumination non-uniformity that vary across water types and depths. We propose…
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids
Neethu Maya, Bala Kameshwar Poolla, Seshadhri Srinivasan +2
This paper presents a Dynamic Internal Predictive Power Scheduling (DIPPS) approach for optimizing power management in microgrids, particularly focusingon external power exchanges…
Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem
Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan
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…
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving
Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram +1
This paper presents a Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) model for maneuver planning. Traditional rule-based maneuver planning approaches often…
A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
Mohammed Thousif, Shridhar Velhal, Suresh Sundaram +1
This paper proposes a novel Decentralized Spike-based Learning (DSL) framework for the discrete Perimeter Defense Problem (d-PDP). A team of defenders is operating on the perimeter…
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images
Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram +1
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…
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning
Jayabrata Chowdhury, Suresh Sundaram, Nishanth Rao +1
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…
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles
Sauranil Debarshi, Suresh Sundaram, Narasimhan Sundararajan
This paper presents a coupled, neural network-aided longitudinal cruise and lateral path-tracking controller for an autonomous vehicle with model uncertainties and experiencing unk…
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm
Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram +2
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 wi…