Search Results for author: Eric Cristofalo

Found 4 papers, 3 papers with code

CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes

2 code implementations17 Mar 2020 Pablo Pueyo, Eric Cristofalo, Eduardo Montijano, Mac Schwager

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 shots and perspectives they enable.

Robotics

AirSim Drone Racing Lab

2 code implementations12 Mar 2020 Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor

Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control.

Benchmarking Optical Flow Estimation

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

1 code implementation8 Jan 2018 Riccardo Spica, Davide Falanga, Eric Cristofalo, Eduardo Montijano, Davide Scaramuzza, Mac Schwager

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, and opportunistic passing while avoiding collisions.

Robotics

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

no code implementations2 May 2017 Eric Cristofalo, Zijian Wang

Comparative studies were conducted on both a standard RGBD data set and our own data set (learning from both single and multiple images), and results verified that stacked focal images yield better depth estimation than using just single RGB image.

Depth Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.