125 citations · 543 across the 31 of their papers we have counts for
5 papers · 2 filters
Planning Paths Through Unknown Space by Imagining What Lies Therein
Yutao Han, Jacopo Banfi, Mark Campbell
This paper presents a novel framework for planning paths in maps containing unknown spaces, such as from occlusions. Our approach takes as input a semantically-annotated point clou…
Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search
Beatriz A. Asfora, Jacopo Banfi, Mark Campbell
In this letter, we consider the Multi-Robot Efficient Search Path Planning (MESPP) problem, where a team of robots is deployed in a graph-represented environment to capture a movin…
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds
Yutao Han, Hubert Lin, Jacopo Banfi +2
Planning in unstructured environments is challenging -- it relies on sensing, perception, scene reconstruction, and reasoning about various uncertainties. We propose DeepSemanticHP…
Interactive Natural Language-based Person Search
Vikram Shree, Wei-Lun Chao, Mark Campbell
In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions. Specifically, we study how to systematically design a…
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points
Yutao Han, Rina Tse, Mark Campbell
This paper presents a pedestrian motion model that includes both low level trajectory patterns, and high level discrete transitions. The inclusion of both levels creates a more gen…