5 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…
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…
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…
NeuroHJR: Hamilton-Jacobi Reachability-based Obstacle Avoidance in Complex Environments with Physics-Informed Neural Networks
Granthik Halder, Rudrashis Majumder, Rakshith M R +2
Autonomous ground vehicles (AGVs) must navigate safely in cluttered environments while accounting for complex dynamics and environmental uncertainty. Hamilton-Jacobi Reachability (…
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…