1 code implementation • 17 Feb 2022 • Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza
In the context of this work, we developed, and open source, a modular and efficient software architecture containing state-of-the-art algorithms to solve the SLAM problem in discrete and continuous time.
no code implementations • 26 May 2020 • Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
This paper presents a novel system for autonomous, vision-based drone racing combining learned data abstraction, nonlinear filtering, and time-optimal trajectory planning.
no code implementations • 29 Feb 2020 • Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza
In this paper, we propose to augment image-based place recognition with structural cues.
1 code implementation • 26 Nov 2018 • Titus Cieslewski, Michael Bloesch, Davide Scaramuzza
The extraction and matching of interest points is a prerequisite for many geometric computer vision problems.
1 code implementation • 3 May 2018 • Titus Cieslewski, Konstantinos G. Derpanis, Davide Scaramuzza
In certain cases, our detector is able to obtain an equivalent amount of inliers with as little as 60% of the amount of points of other detectors.
1 code implementation • 16 Oct 2017 • Titus Cieslewski, Siddharth Choudhary, Davide Scaramuzza
In this work, we integrate state-of-the-art decentralized SLAM components into a new, complete decentralized visual SLAM system.
Robotics
1 code implementation • 30 May 2017 • Titus Cieslewski, Davide Scaramuzza
As we show, casting this to a key-value lookup problem can be achieved with k-means clustering, and results in a much simpler system than [1].