activity
20172020
most citedGeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

8 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20208 cited

GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

Eric Cristofalo, Eduardo Montijano, Mac Schwager

We present a consensus-based distributed pose graph optimization algorithm for obtaining an estimate of the 3D translation and rotation of each pose in a pose graph, given noisy re…

cs.RO2020

AirSim Drone Racing Lab

Ratnesh Madaan, Nicholas Gyde, Sai Vemprala +7

Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control. We introduce AirSim Drone Racing Lab, a s…

cs.RO2020

CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes

Pablo Pueyo, Eric Cristofalo, Eduardo Montijano +1

Drones and Unmanned Aerial Vehicles (UAV's) are becoming increasingly popular in the film and entertainment industries in part because of their maneuverability and the dynamic shot…

cs.RO2018

A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing

Riccardo Spica, Davide Falanga, Eric Cristofalo +3

To be successful in multi-player drone racing, a player must not only follow the race track in an optimal way, but also compete with other drones through strategic blocking, faking…

cs.CV2017

Out-of-focus: Learning Depth from Image Bokeh for Robotic Perception

Eric Cristofalo, Zijian Wang

In this project, we propose a novel approach for estimating depth from RGB images. Traditionally, most work uses a single RGB image to estimate depth, which is inherently difficult…