1 citations · 1 across the 4 of their papers we have counts for
4 papers
DiffPhysCam: Differentiable Physics-Based Camera Simulation for Inverse Rendering and Embodied AI
Bo-Hsun Chen, Nevindu M. Batagoda, Dan Negrut
Generating synthetic images that closely mimic those from real cameras is instrumental in training visual models and enabling end-to-end visuomotor learning. We introduce DiffPhysC…
Instance Performance Difference: A Metric to Measure the Sim-To-Real Gap in Camera Simulation
Bo-Hsun Chen, Dan Negrut
In this contribution, we introduce the concept of Instance Performance Difference (IPD), a metric designed to measure the gap in performance that a robotics perception task experie…
A physics-based sensor simulation environment for lunar ground operations
Nevindu M. Batagoda, Bo-Hsun Chen, Harry Zhang +2
This contribution reports on a software framework that uses physically-based rendering to simulate camera operation in lunar conditions. The focus is on generating synthetic images…
POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation
Bo-Hsun Chen, Peter Negrut, Thomas Liang +3
NASA's POLAR dataset contains approximately 2,600 pairs of high dynamic range stereo photos captured across 13 varied terrain scenarios, including areas with sparse or dense rock d…