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AirSim Drone Racing Lab

AirSim Drone Racing Lab

12 March 2020
Ratnesh Madaan
N. Gyde
Sai H. Vemprala
Matthew Brown
Keiko Nagami
Tim Taubner
E. Cristofalo
Davide Scaramuzza
Mac Schwager
Ashish Kapoor
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Papers citing "AirSim Drone Racing Lab"

17 / 17 papers shown
Title
Time-optimal Flight in Cluttered Environments via Safe Reinforcement
  Learning
Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning
Wei Xiao
Zhaohan Feng
Ziyu Zhou
Jian Sun
Gang Wang
Jie Chen
33
1
0
28 Jun 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic
  Slimmable Networks
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
Timothy K Johnsen
Marco Levorato
31
1
0
16 May 2024
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for
  Vision-Based Flight
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
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning
  Components
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
21
4
0
12 Jan 2023
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
35
4
0
10 Nov 2022
Learned Inertial Odometry for Autonomous Drone Racing
Learned Inertial Odometry for Autonomous Drone Racing
Giovanni Cioffi
L. Bauersfeld
Elia Kaufmann
Davide Scaramuzza
26
20
0
27 Oct 2022
Learning Minimum-Time Flight in Cluttered Environments
Learning Minimum-Time Flight in Cluttered Environments
Robert Pěnička
Yunlong Song
Elia Kaufmann
Davide Scaramuzza
21
50
0
28 Mar 2022
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems
Shuang Ma
Sai H. Vemprala
Wenshan Wang
Jayesh K. Gupta
Yale Song
Daniel J. McDuff
Ashish Kapoor
SSL
37
9
0
20 Feb 2022
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments
Robert Pěnička
Davide Scaramuzza
12
59
0
08 Feb 2022
Towards Time-Optimal Tunnel-Following for Quadrotors
Towards Time-Optimal Tunnel-Following for Quadrotors
Jon Arrizabalaga
Markus Ryll
29
18
0
04 Oct 2021
Expertise Affects Drone Racing Performance
Expertise Affects Drone Racing Performance
Christian Pfeiffer
Davide Scaramuzza
11
3
0
15 Sep 2021
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight
Angel Romero
Sihao Sun
Philipp Foehn
Davide Scaramuzza
21
125
0
30 Aug 2021
Time-Optimal Planning for Quadrotor Waypoint Flight
Time-Optimal Planning for Quadrotor Waypoint Flight
Philipp Foehn
Angel Romero
Davide Scaramuzza
33
186
0
10 Aug 2021
Causal Navigation by Continuous-time Neural Networks
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach
Ramin Hasani
Alexander Amini
Mathias Lechner
Daniela Rus
26
47
0
15 Jun 2021
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
L. Bauersfeld
Elia Kaufmann
Philipp Foehn
Sihao Sun
Davide Scaramuzza
37
91
0
15 Jun 2021
AutoTune: Controller Tuning for High-Speed Flight
AutoTune: Controller Tuning for High-Speed Flight
Antonio Loquercio
Alessandro Saviolo
Davide Scaramuzza
27
35
0
19 Mar 2021
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Ugurkan Ates
18
10
0
11 Jul 2020
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