6 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain
Timothy Chase, Christopher Wilson, Karthik Dantu
The in-situ detection of planetary, lunar, and small-body surface terrain is crucial for autonomous spacecraft applications, where learning-based computer vision methods are increa…
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain
Timothy Chase, Karthik Dantu
The visual detection and tracking of surface terrain is required for spacecraft to safely land on or navigate within close proximity to celestial objects. Current approaches rely o…
Learning Visual Information Utility with PIXER
Yash Turkar, Timothy Chase, Christo Aluckal +1
Accurate feature detection is fundamental for various computer vision tasks, including autonomous robotics, 3D reconstruction, medical imaging, and remote sensing. Despite advancem…
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings
Timothy Chase, Chris Gnam, John Crassidis +1
The detection of hazardous terrain during the planetary landing of spacecraft plays a critical role in assuring vehicle safety and mission success. A cheap and effective way of det…