activity
20202024
most citedROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20221 cited

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields

Dominic Maggio, Marcus Abate, Jingnan Shi +2

We present Loc-NeRF, a real-time vision-based robot localization approach that combines Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained Ne…

cs.RO2021

Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs

Antoni Rosinol, Andrew Violette, Marcus Abate +5

Humans are able to form a complex mental model of the environment they move in. This mental model captures geometric and semantic aspects of the scene, describes the environment at…

cs.CV20204 cited

ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants

Jingnan Shi, Heng Yang, Luca Carlone

Many estimation problems in robotics, computer vision, and learning require estimating unknown quantities in the face of outliers. Outliers are typically the result of incorrect da…

cs.RO2020

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Antoni Rosinol, Arjun Gupta, Marcus Abate +2

We present a unified representation for actionable spatial perception: 3D Dynamic Scene Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (e.g. o…

cs.RO2020

TEASER: Fast and Certifiable Point Cloud Registration

Heng Yang, Jingnan Shi, Luca Carlone

We propose the first fast and certifiable algorithm for the registration of two sets of 3D points in the presence of large amounts of outlier correspondences. We first reformulate…