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Aaron Young

4 accepted papers

2026

Task-Driven Implicit Representations for Automated Design of LiDAR Systems

CVPR 2026

Imaging system design is a complex, time-consuming, and largely manual process; LiDAR design, ubiquitous in mobile devices, autonomous vehicles, and aerial imaging platforms, adds further complexity through unique spatial and temporal sampling requirements. In this work, we propose a framework for a

Cited by 0SourceScholar
2025

Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB

CVPR 2025highlight

3D surface reconstruction is essential across applications of virtual reality, robotics, and mobile scanning. However, RGB-based reconstruction often fails in low-texture, low-light, and low-albedo scenes. Handheld LiDARs, now common on mobile devices, aim to address these challenges by capturing de…

Cited by 2SourcePDFScholar
2025

Enhancing Autonomous Navigation by Imaging Hidden Objects Using Single-Photon LiDAR

ICRA 2025

Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages Non-Line-of-Sight (NLOS) sensing using single-photon LiDAR to improve visibility and enhance autonomous navigation. Our method enables mobile robo

Cited by 12SourcecodeScholar
2020

SynChrono: A Scalable, Physics-Based Simulation Platform For Testing Groups of Autonomous Vehicles and/or Robots

IROS 2020poster

This contribution is concerned with the topic of using simulation to understand the behavior of groups of mutually interacting autonomous vehicles (AVs) or robots engaged in traffic/maneuvers that involve coordinated operation. We outline the structure of a multi-agent simulator called SYN-CHRONO an…

Cited by 12SourcecodeScholar