Search Results for author: Adithya Pediredla

Found 6 papers, 0 papers with code

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

no code implementations6 Apr 2024 Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher Metzler, Suren Jayasuriya, Adithya Pediredla

In this manuscript, we demonstrate that using transient data (from sonars) allows us to address the missing cone problem by sampling high-frequency data along the depth axis.

Autonomous Navigation Novel View Synthesis

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion

no code implementations5 Feb 2024 Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler

Underwater perception and 3D surface reconstruction are challenging problems with broad applications in construction, security, marine archaeology, and environmental monitoring.

3D Scene Reconstruction Neural Rendering +2

Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar

no code implementations16 Jun 2023 Albert W. Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya

However, image formation is typically under-constrained due to a limited number of measurements and bandlimited hardware, which limits the capabilities of existing reconstruction methods.

Image Reconstruction Neural Rendering

Megahertz Light Steering Without Moving Parts

no code implementations CVPR 2023 Adithya Pediredla, Srinivasa G. Narasimhan, Maysamreza Chamanzar, Ioannis Gkioulekas

We introduce a light steering technology that operates at megahertz frequencies, has no moving parts, and costs less than a hundred dollars.

Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging

no code implementations2 Sep 2015 Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan

In this paper, we explore the strengths and weaknesses of combining light field and time-of-flight imaging, particularly the feasibility of an on-chip implementation as a single hybrid depth sensor.

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