12 citations · 14 across the 8 of their papers we have counts for
9 papers
-SUB: A Physics-Informed Synthetic Underwater Benchmark Dataset for Underwater Image Enhancement
Namritha Lasyapriya Maddali, Rajini Makam, Suresh Sundaram +1
This paper presents -SUB, a physics-informed framework for generating synthetic underwater benchmark datasets that bridges the synthetic-to-real gap for Underwater Image Enhance…
BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams
Pranav Kedia, Rajini Makam, Heiko Hamann +1
Accurate and continuous localization of Autonomous Underwater Vehicles (AUVs) in GPS-denied environments is a persistent challenge in marine robotics. In the absence of external po…
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…
Performance Analysis of Spatial and Temporal Learning Networks in the Presence of DVL Noise
Rajini Makam, Nadav Cohen, Sumukh Shadakshari +3
Navigation is a critical aspect of autonomous underwater vehicles (AUVs) operating in complex underwater environments. Since global navigation satellite system (GNSS) signals are u…
OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater Imaging
Rajini Makam, Dhatri Shankari T M, Sharanya Patil +1
Underwater environments pose significant challenges due to the selective absorption and scattering of light by water, which affects image clarity, contrast, and color fidelity. To…
EROAS: 3D Efficient Reactive Obstacle Avoidance System for Autonomous Underwater Vehicles using 2.5D Forward-Looking Sonar
Pruthviraj Mane, Allen Jacob George, Rajini Makam +3
Autonomous Underwater Vehicles (AUVs) have advanced significantly in obstacle detection and path planning through sonar, cameras, and learning-based methods. However, safe and effi…
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar
Aayush Agrawal, Aniruddh Sikdar, Rajini Makam +3
Underwater mine detection with deep learning suffers from limitations due to the scarcity of real-world data. This scarcity leads to overfitting, where models perform well on train…
A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle
Rajini Makam, Pruthviraj Mane, Suresh Sundaram +1
Autonomous underwater vehicles (AUV) have become the de facto vehicle for remote operations involving oceanography, inspection, and monitoring tasks. These vehicles operate in diff…
Multiple Estimation Models for Discrete-time Adaptive Iterative Learning Control
Ram Padmanabhan, Rajini Makam, Koshy George
This article focuses on making discrete-time Adaptive Iterative Learning Control (ILC) more effective using multiple estimation models. Existing strategies use the tracking error t…