4 citations · 6 across the 5 of their papers we have counts for
5 papers
Camera simulation for robot simulation: how important are various camera model components?
Asher Elmquist, Radu Serban, Dan Negrut
Modeling cameras for the simulation of autonomous robotics is critical for generating synthetic images with appropriate realism to effectively evaluate a perception algorithm in si…
ART/ATK: A research platform for assessing and mitigating the sim-to-real gap in robotics and autonomous vehicle engineering
Asher Elmquist, Aaron Young, Thomas Hansen +10
We discuss a platform that has both software and hardware components, and whose purpose is to support research into characterizing and mitigating the sim-to-real gap in robotics an…
Evaluating a GAN for enhancing camera simulation for robotics
Asher Elmquist, Radu Serban, Dan Negrut
Given the versatility of generative adversarial networks (GANs), we seek to understand the benefits gained from using an existing GAN to enhance simulated images and reduce the sim…
A performance contextualization approach to validating camera models for robot simulation
Asher Elmquist, Radu Serban, Dan Negrut
The focus of this contribution is on camera simulation as it comes into play in simulating autonomous robots for their virtual prototyping. We propose a camera model validation met…
A software toolkit and hardware platform for investigating and comparing robot autonomy algorithms in simulation and reality
Asher Elmquist, Aaron Young, Ishaan Mahajan +8
We describe a software framework and a hardware platform used in tandem for the design and analysis of robot autonomy algorithms in simulation and reality. The software, which is o…