Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

15 October 2018

Alexey Dosovitskiy

Papers citing "Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing"

29 / 29 papers shown

Title
AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection Roohan Ahmed Khan Valerii Serpiva Demetros Aschalew A. Fedoseev Dzmitry Tsetserukou 59 0 0 10 Feb 2025
Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems Hanli Zhang Anusha Srikanthan Spencer Folk Vijay R. Kumar Nikolai Matni 40 4 0 10 Jan 2024
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight Philipp Foehn Elia Kaufmann Angel Romero Robert Pěnička Sihao Sun ... T. Laengle Giovanni Cioffi Yunlong Song Antonio Loquercio Davide Scaramuzza 32 105 0 12 Jul 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 36 3 0 09 Apr 2023
Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones Jiaping Xiao Mir Feroskhan AAML 38 7 0 07 Apr 2023
Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones Yu-heng Shen Jinming Xu Jin Zhou Dan Xu Fangguo Zhao Jiming Chen Shuo Li 25 4 0 01 Mar 2023
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry Ying Xu Guido de Croon BDL 33 5 0 30 Aug 2022
Finding Fallen Objects Via Asynchronous Audio-Visual Integration Chuang Gan Yi Gu Siyuan Zhou Jeremy Schwartz S. Alter James Traer Dan Gutfreund J. Tenenbaum Josh H. McDermott Antonio Torralba 50 19 0 07 Jul 2022
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics Elia Cereda Stefano Bonato Mirko Nava Alessandro Giusti Daniele Palossi 21 3 0 13 Jun 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web Jimuyang Zhang Ruizhao Zhu Eshed Ohn-Bar 19 20 0 21 Apr 2022
Time-Optimal Online Replanning for Agile Quadrotor Flight Angel Romero Robert Pěnička Davide Scaramuzza 8 56 0 18 Mar 2022
Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions Andrew W. Singletary A. Swann Yuxiao Chen Aaron D. Ames 16 48 0 12 Jan 2022
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition C. De Wagter Federico Paredes-Valles N. Sheth Guido de Croon 28 18 0 30 Sep 2021
Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors S. Stroobants Julien Dupeyroux Guido de Croon 21 11 0 21 Sep 2021
Expertise Affects Drone Racing Performance Christian Pfeiffer Davide Scaramuzza 11 3 0 15 Sep 2021
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight Angel Romero Sihao Sun Philipp Foehn Davide Scaramuzza 32 125 0 30 Aug 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 24 115 0 02 Jan 2021
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing Théo Morales Andriy Sarabakha Erdal Kayacan 16 11 0 06 Aug 2020
Similarity-based transfer learning of decision policies Elivska Zugarová Tatiana V. Guy OffRL 14 1 0 12 Jun 2020
AlphaPilot: Autonomous Drone Racing Philipp Foehn Dario Brescianini Elia Kaufmann Titus Cieslewski Mathias Gehrig Manasi Muglikar Davide Scaramuzza 34 134 0 26 May 2020
AirSim Drone Racing Lab Ratnesh Madaan N. Gyde Sai H. Vemprala Matthew Brown Keiko Nagami Tim Taubner E. Cristofalo Davide Scaramuzza Mac Schwager Ashish Kapoor 19 73 0 12 Mar 2020
Learning to Move with Affordance Maps William Qi Ravi Teja Mullapudi Saurabh Gupta Deva Ramanan 24 35 0 08 Jan 2020
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC Keuntaek Lee Jason Gibson Evangelos A. Theodorou 22 31 0 07 Jan 2020
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 289 0 16 Jul 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 206 0 21 May 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
PAMPC: Perception-Aware Model Predictive Control for Quadrotors Davide Falanga Philipp Foehn Peng Lu Davide Scaramuzza 69 215 0 13 Apr 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 204 5,375 0 20 Oct 2016