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Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in
  Dynamic Environments
v1v2 (latest)

Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments

2 September 2022
J. Tordesillas
Jonathan P. How
ArXiv (abs)PDFHTML

Papers citing "Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments"

22 / 22 papers shown
Title
Pushing Everything Everywhere All At Once: Probabilistic Prehensile Pushing
Pushing Everything Everywhere All At Once: Probabilistic Prehensile Pushing
Patrizio Perugini
Jens Lundell
Katharina Friedl
Danica Kragic
68
1
0
18 Mar 2025
Learning High-Speed Flight in the Wild
Learning High-Speed Flight in the Wild
Antonio Loquercio
Elia Kaufmann
René Ranftl
Matthias Muller
V. Koltun
Davide Scaramuzza
96
298
0
11 Oct 2021
Demonstration-Efficient Guided Policy Search via Imitation of Robust
  Tube MPC
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
Andrea Tagliabue
Dong-Ki Kim
M. Everett
Jonathan P. How
91
22
0
21 Sep 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan
Ramin Moslemi
Francesco Pittaluga
Buyu Liu
Manmohan Chandraker
66
58
0
16 Apr 2021
Imitation Learning from MPC for Quadrupedal Multi-Gait Control
Imitation Learning from MPC for Quadrupedal Multi-Gait Control
Alexander Reske
Jan Carius
Yuntao Ma
Farbod Farshidian
Marco Hutter
59
38
0
26 Mar 2021
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
J. Tordesillas
Jonathan P. How
64
54
0
10 Mar 2021
MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
J. Tordesillas
Jonathan P. How
61
150
0
21 Oct 2020
DiverseNet: When One Right Answer is not Enough
DiverseNet: When One Right Answer is not Enough
Michael Firman
Neill D. F. Campbell
Lourdes Agapito
Gabriel J. Brostow
3DHOOD
88
24
0
24 Aug 2020
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor
  Fast Flight
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight
Boyu Zhou
Jie Pan
Fei Gao
Shaojie Shen
62
225
0
06 Jul 2020
Deep Drone Acrobatics
Deep Drone Acrobatics
Elia Kaufmann
Antonio Loquercio
René Ranftl
Matthias Muller
V. Koltun
Davide Scaramuzza
58
150
0
10 Jun 2020
Perception-aware time optimal path parameterization for quadrotors
Perception-aware time optimal path parameterization for quadrotors
Igor Spasojevic
Varun Murali
S. Karaman
64
42
0
28 May 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
415
13,048
0
26 May 2020
How To Train Your Deep Multi-Object Tracker
How To Train Your Deep Multi-Object Tracker
Yihong Xu
Aljosa Osep
Yutong Ban
Radu Horaud
Laura Leal-Taixe
Xavier Alameda-Pineda
VOT
91
192
0
15 Jun 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and
  Fitting Framework for Multimodal Future Prediction
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
109
191
0
09 Jun 2019
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
Davide Falanga
Philipp Foehn
Peng Lu
Davide Scaramuzza
117
216
0
13 Apr 2018
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
128
1,066
0
06 Oct 2017
Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and
  Computing using Active Vision
Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing using Active Vision
Davide Falanga
Elias Mueggler
Matthias Faessler
Davide Scaramuzza
48
178
0
01 Dec 2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple
  Hypotheses
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
54
184
0
01 Dec 2016
Simple Online and Realtime Tracking
Simple Online and Realtime Tracking
Alex Bewley
Zongyuan Ge
Lionel Ott
F. Ramos
B. Upcroft
VOT
84
3,095
0
02 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Learning Monocular Reactive UAV Control in Cluttered Natural
  Environments
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stéphane Ross
Narek Melik-Barkhudarov
Kumar Shaurya Shankar
Andreas Wendel
Debadeepta Dey
J. Andrew Bagnell
M. Hebert
114
438
0
07 Nov 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
222
3,221
0
02 Nov 2010
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