Towards Realistic 3D Sonar Simulation
- URL: http://arxiv.org/abs/2606.06130v1
- Date: Thu, 04 Jun 2026 13:16:32 GMT
- Title: Towards Realistic 3D Sonar Simulation
- Abstract summary: This paper proposes a modular architecture for realistic 3D sonar simulation that integrates GPU-accelerated graphics engines with physically grounded acoustic propagation principles.<n>We implement a volumetric 3D sonar model within the NVIDIA Isaac Sim environment, modeled after the Water Linked 3D-15 sensor, and integrate it into a comprehensive underwater simulation framework.
- Score: 0.879992628101849
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: As underwater robotics research increasingly addresses complex 3D perception and autonomous navigation, the fidelity of sonar simulation has become a key factor in algorithm development. Current simulation frameworks typically rely on geometry-driven rendering, approximating 3D sonar as an underwater equivalent to LiDAR, which fails to account for fundamental acoustic phenomena such as refraction, multi-path interference, and phase-dependent signal formation. This paper proposes a modular architecture for realistic 3D sonar simulation that integrates GPU-accelerated graphics engines with physically grounded acoustic propagation principles. We implement a volumetric 3D sonar model within the NVIDIA Isaac Sim environment, modeled after the Water Linked 3D-15 sensor, and integrate it into a comprehensive underwater simulation framework. The system is validated through a hardware-in-the-loop configuration, where a modified FastLIO2 SLAM pipeline, executed on an NVIDIA Jetson Orin Nano, performs sensor fusion using synthetic 3D sonar, DVL, IMU, and pressure data. Finally, a qualitative comparison between simulated outputs and real-world data from harbor sheet-pile inspections is provided, characterizing the remaining sim-to-real gap and establishing a roadmap toward fully acoustics-driven volumetric sensing.
Related papers
- Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation [63.01022057888141]
Asset Harvester is an image-to-3D model and end-to-end pipeline that converts sparse, in-thewild object observations from real driving logs into complete, simulation-ready assets.<n>SparseViewDiT is explicitly designed to address limited-angle views and other real-world data challenges.
arXiv Detail & Related papers (2026-04-20T16:20:57Z) - FastPhysGS: Accelerating Physics-based Dynamic 3DGS Simulation via Interior Completion and Adaptive Optimization [56.17833729527066]
We propose FastPhysGS, a framework for physics-based dynamic 3DGS simulation.<n>FastPhysGS achieves high-fidelity physical simulation in 1 minute using only 7 GB runtime memory.
arXiv Detail & Related papers (2026-02-02T07:00:42Z) - GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials [34.530526668727056]
GaussianFluent is a framework for realistic simulation and rendering of dynamic object states.<n>It synthesizes interiors by densifying internal Gaussians guided by generative models.<n>It integrates an optimized Continuum Damage Material Point Method (CD-MPM) to enable brittle fracture simulation at remarkably high speed.
arXiv Detail & Related papers (2026-01-14T07:59:52Z) - VISO: Robust Underwater Visual-Inertial-Sonar SLAM with Photometric Rendering for Dense 3D Reconstruction [2.095709224275874]
VISO is a robust underwater SLAM system that fuses a stereo camera, an inertial measurement unit (IMU) and a 3D sonar.<n>We show that VISO surpasses current state-of-the-art underwater and visual-based SLAM algorithms in terms of localisation robustness and accuracy.
arXiv Detail & Related papers (2026-01-03T10:18:09Z) - Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion [16.720863475636328]
3D data simulation aims to bridge the gap between simulated and real-captured 3D data.<n>Most 3D data simulation methods inject predefined physical priors but struggle to capture the full complexity of real data.<n>This work explores a new solution path, called Stable-Sim2Real, based on a novel two-stage depth diffusion model.
arXiv Detail & Related papers (2025-07-31T12:08:16Z) - Integrated Pipeline for Monocular 3D Reconstruction and Finite Element Simulation in Industrial Applications [1.3908352231737158]
This paper proposes an integrated workflow, which integrates high-fidelity 3D reconstruction based on monocular video, finite element simulation analysis, and mixed reality visual display.<n>Experiments show that the method has good simulation efficiency and visualization effect while maintaining high geometric accuracy.
arXiv Detail & Related papers (2025-06-16T14:57:05Z) - PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics [62.93137406343609]
We present our fluid simulator PICT, a differentiable pressure-implicit solver coded in PyTorch with Graphics-processing-unit (GPU) support.<n>We first verify the accuracy of both the forward simulation and our derived gradients in various established benchmarks.<n>We show that the gradients provided by our solver can be used to learn complicated turbulence models in 2D and 3D.
arXiv Detail & Related papers (2025-05-22T17:55:10Z) - DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness [79.4785166021062]
Most 3D object generators prioritize aesthetic quality, often neglecting the physical constraints necessary for practical applications.<n>Previous approaches to generating stable 3D objects relied on differentiable physics simulators to optimize geometry at test time.<n>This framework leverages feedback from a (non-differentiable) simulator to increase the likelihood that the 3D generator directly outputs stable 3D objects.
arXiv Detail & Related papers (2025-03-28T17:59:53Z) - EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis [61.1662426227688]
Existing NeRF and 3DGS-based methods show promising results in achieving photorealistic renderings but require slow, per-scene optimization.<n>We introduce EVolSplat, an efficient 3D Gaussian Splatting model for urban scenes that works in a feed-forward manner.
arXiv Detail & Related papers (2025-03-26T02:47:27Z) - EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenes [55.2480439325792]
We present a novel machine-learning (ML) approach (EM-GANSim) for real-time electromagnetic (EM) propagation.<n>In practice, it can compute the signal strength in a few milliseconds on any location in 3D indoor environments.
arXiv Detail & Related papers (2024-05-27T17:19:02Z) - Physics-based Differentiable Depth Sensor Simulation [5.134435281973137]
We introduce a novel end-to-end differentiable simulation pipeline for the generation of realistic 2.5D scans.
Each module can be differentiated w.r.t sensor and scene parameters.
Our simulation greatly improves the performance of the resulting models on real scans.
arXiv Detail & Related papers (2021-03-30T17:59:43Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.