1 citations · 2 across the 15 of their papers we have counts for
3 papers · 1 filter
An Uncertainty Estimation Framework for Probabilistic Object Detection
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
In this paper, we introduce a new technique that combines two popular methods to estimate uncertainty in object detection. Quantifying uncertainty is critical in real-world robotic…
Vision-Based Guidance for Tracking Dynamic Objects
Pritam Karmokar, Kashish Dhal, William J. Beksi +1
In this paper, we present a novel vision-based framework for tracking dynamic objects using guidance laws based on a rendezvous cone approach. These guidance laws enable an unmanne…
Learning the Next Best View for 3D Point Clouds via Topological Features
Christopher Collander, William J. Beksi, Manfred Huber
In this paper, we introduce a reinforcement learning approach utilizing a novel topology-based information gain metric for directing the next best view of a noisy 3D sensor. The me…