AquaNav - Unmanned Surface Vehicle Simulator Using Unreal Engine 5

Developing vision based algorithms for Unmanned Surface Vehicles (USVs) presents significant challenges due to the high cost and inherent risks of open ocean testing. As a result, simulation has become an essential tool in the early stages of development. In this context, we present AquaNav, a realistic simulator built on Unreal Engine 5. It features river, docks, and coastal environments with wave physics and real time lighting variations. AquaNav includes a surface vehicle which can be either teleoperated or made to follow certain desired velocity. The simulator supports the capture of co-registered RGB and depth images at configurable frame rates, and allows users to customize the simulated environment by selecting specific latitudes, longitudes, time zones, and time of day. This enables the generation of diverse and challenging visual datasets. The time of day can also be modified at runtime, providing a platform to evaluate the robustness of visual algorithms under varying environmental conditions. Additionally, we provide a preliminary labeled dataset generated using AquaNav. We also demonstrate sample vision algorithms operating while the simulation is running. The project is available at: https://github.com/AIRLabIISc/AquaNav.git

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104589
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AquaNav - Unmanned Surface Vehicle Simulator Using Unreal Engine 5

Suresh Sundaram, Pruthviraj Mane, A. R. George, Aditya Khonde
Maritime Navigation and Safety
article

AquaNav - Unmanned Surface Vehicle Simulator Using Unreal Engine 5

Suresh Sundaram, Pruthviraj Mane, A. R. George, Aditya Khonde
article en

Abstract

Developing vision based algorithms for Unmanned Surface Vehicles (USVs) presents significant challenges due to the high cost and inherent risks of open ocean testing. As a result, simulation has become an essential tool in the early stages of development. In this context, we present AquaNav, a realistic simulator built on Unreal Engine 5. It features river, docks, and coastal environments with wave physics and real time lighting variations. AquaNav includes a surface vehicle which can be either teleoperated or made to follow certain desired velocity. The simulator supports the capture of co-registered RGB and depth images at configurable frame rates, and allows users to customize the simulated environment by selecting specific latitudes, longitudes, time zones, and time of day. This enables the generation of diverse and challenging visual datasets. The time of day can also be modified at runtime, providing a platform to evaluate the robustness of visual algorithms under varying environmental conditions. Additionally, we provide a preliminary labeled dataset generated using AquaNav. We also demonstrate sample vision algorithms operating while the simulation is running. The project is available at: https://github.com/AIRLabIISc/AquaNav.git

Indian Institute of Science Bangalore (IN), Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 75%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AquaNav - Unmanned Surface Vehicle Simulator Using Unreal Engine 5 — Suresh Sundaram, Pruthviraj Mane, et al. · (2025) | TGRS Research Map | TGRS