Fetching the paper…
Reading the bibliography…
Motivated by vision-based control of autonomous vehicles, we consider the problem of controlling a known linear dynamical system for which partial state information, such as vehicle position, is extracted from complex and nonlinear data, such as a camera image.
Feedback systems: input-output properties , volume 55
Charles A Desoer and Mathukumalli Vidyasagar · 1975
Earlier work this paper cites.
Some asymptotic theory for the bootstrap
Peter J Bickel, David A Freedman, et al · 1981
Earlier work this paper cites.
ℓ 1 \ell^{1} -optimal feedback controllers for MIMO discrete-time systems
M. Dahleh and J. Pearson · 1987
Earlier work this paper cites.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
Earlier work this paper cites.
Real and complex stability radii: a survey
Diederich Hinrichsen and Anthony J Pritchard · 1990
Earlier work this paper cites.
Estimation of the lipschitz constant of a function
GR Wood and BP Zhang · 1996
Earlier work this paper cites.
Robust and optimal control , volume 40
Kemin Zhou, John Comstock Doyle, Keith Glover, et al · 1996
Earlier work this paper cites.
Optimization of conditional value-at-risk
R Tyrrell Rockafellar, Stanislav Uryasev, et al · 2000
Earlier work this paper cites.
Robust output feedback model predictive control using off-line linear matrix inequalities
Zhaoyang Wan and Mayuresh V Kothare · 2002
Earlier work this paper cites.
Robust output feedback model predictive control of constrained linear systems
David Q Mayne, SV Raković, Rolf Findeisen, and Frank Allgöwer · 2006
Earlier work this paper cites.
Learning networks of stochastic differential equations
José Pereira, Morteza Ibrahimi, and Andrea Montanari · 2010
Earlier work this paper cites.
L ipschitz global optimization
Yaroslav D Sergeyev and Dmitri E Kvasov · 2010
Earlier work this paper cites.
Regret bounds for the adaptive control of linear quadratic systems
Yasin Abbasi-Yadkori and Csaba Szepesvári · 2011
Earlier work this paper cites.
Bootstrap methods: A guide for practitioners and researchers , volume 619
Michael R Chernick · 2011
Earlier work this paper cites.
Visual-inertial navigation, mapping and localization: A scalable real-time causal approach
Eagle S Jones and Stefano Soatto · 2011
Earlier work this paper cites.
Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration
Jonathan Kelly and Gaurav S Sukhatme · 2011
Earlier work this paper cites.
Visual odometry [tutorial]
Davide Scaramuzza and Friedrich Fraundorfer · 2011
Earlier work this paper cites.
Learning feature representations with k-means
Adam Coates and Andrew Y Ng · 2012
Earlier work this paper cites.
Online learning for time series prediction
Oren Anava, Elad Hazan, Shie Mannor, and Ohad Shamir · 2013
Earlier work this paper cites.
A robust and modular multi-sensor fusion approach applied to mav navigation
Simon Lynen, Markus W Achtelik, Stephan Weiss, Margarita Chli, and Roland Siegwart · 2013
Earlier work this paper cites.
Reachability-based safe learning with gaussian processes
Anayo K Akametalu, Jaime F Fisac, Jeremy H Gillula, Shahab Kaynama, Melanie N Zeilinger, and Claire J Tomlin · 2014
Earlier work this paper cites.
Camera-imu-based localization: Observability analysis and consistency improvement
Joel A Hesch, Dimitrios G Kottas, Sean L Bowman, and Stergios I Roumeliotis · 2014
Earlier work this paper cites.
Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments
C. J. Ostafew, A. P. Schoellig, and T. D. Barfoot · 2014
Earlier work this paper cites.
Seungil You and Ather Gattami · 2014
Earlier work this paper cites.
Online learning for adversaries with memory: price of past mistakes
Oren Anava, Elad Hazan, and Shie Mannor · 2015
Cited alongside, same era.
A machine learning approach to visual perception of forest trails for mobile robots
Alessandro Giusti, Jérôme Guzzi, Dan C Cireşan, Fang-Lin He, Juan P Rodríguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jürgen Schmidhuber, Gianni Di Caro, et al · 2015
Cited alongside, same era.
Get out of my lab: Large-scale, real-time visual-inertial localization
Simon Lynen, Torsten Sattler, Michael Bosse, Joel A Hesch, Marc Pollefeys, and Roland Siegwart · 2015
Cited alongside, same era.
End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
Cited alongside, same era.
Time series prediction and online learning
Vitaly Kuznetsov and Mehryar Mohri · 2016
Cited alongside, same era.
Autonomous aerial navigation using monocular visual-inertial fusion
Yi Lin, Fei Gao, Tong Qin, Wenliang Gao, Tianbo Liu, William Wu, Zhenfei Yang, and Shaojie Shen · 2018
Later among the works it cites.
Non-asymptotic identification of lti systems from a single trajectory
Samet Oymak and Necmiye Ozay · 2018
Later among the works it cites.
Agile autonomous driving using end-to-end deep imitation learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos Theodorou, and Byron Boots · 2018
Later among the works it cites.
Concentration bounds for single parameter adaptive control
Anders Rantzer · 2018
Later among the works it cites.
A tutorial on thompson sampling
Daniel J. Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, and Zheng Wen · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
Cited alongside, same era.
Estimation, control, and planning for aggressive flight with a small quadrotor with a single camera and imu
Giuseppe Loianno, Chris Brunner, Gary McGrath, and Vijay Kumar · 2016
Cited alongside, same era.
ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
Raul Mur-Artal and Juan D. Tardós · 2016
Cited alongside, same era.
Cad2rl: Real single-image flight without a single real image
Fereshteh Sadeghi and Sergey Levine · 2016
Cited alongside, same era.
A system level approach to controller synthesis
Yuh-Shyang Wang, Nikolai Matni, and John C Doyle · 2016
Cited alongside, same era.
Structured state space realizations for sls distributed controllers
James Anderson and Nikolai Matni · 2017
Cited alongside, same era.
Safe model-based reinforcement learning with stability guarantees
Felix Berkenkamp, Matteo Turchetta, Angela Schoellig, and Andreas Krause · 2017
Cited alongside, same era.
Tuhin Sarkar and Alexander Rakhlin · 2018
Later among the works it cites.
Learning without mixing: Towards a sharp analysis of linear system identification
Max Simchowitz, Horia Mania, Stephen Tu, Michael I Jordan, and Benjamin Recht · 2018
Later among the works it cites.
Aggressive flight with suspended payloads using vision-based control
Sarah Tang, Valentin Wüest, and Vijay Kumar · 2018
Later among the works it cites.
Linear model predictive safety certification for learning-based control
Kim P Wabersich and Melanie N Zeilinger · 2018
Later among the works it cites.
Information-theoretic model predictive control: Theory and applications to autonomous driving
Grady Williams, Paul Drews, Brian Goldfain, James M Rehg, and Evangelos A Theodorou · 2018
Later among the works it cites.
Worst-case prediction performance analysis of the kalman filter
Sholeh Yasini and Kristiaan Pelckmans · 2018
Later among the works it cites.
Model-free linear quadratic control via reduction to expert prediction
Yasin Abbasi-Yadkori, Nevena Lazic, and Csaba Szepesvári · 2019
Closest in time.
Online control with adversarial disturbances
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M Kakade, and Karan Singh · 2019
Closest in time.
James Anderson, John C Doyle, Steven Low, and Nikolai Matni · 2019
Closest in time.
MOSEK Optimizer API for Python Release 9.0.88 , 2019
MOSEK ApS · 2019
Closest in time.
Combining optimal control and learning for visual navigation in novel environments
Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, and Claire Tomlin · 2019
Closest in time.
Richard Cheng, Gábor Orosz, Richard M Murray, and Joel W Burdick · 2019
Closest in time.
Learning linear-quadratic regulators efficiently with only
Alon Cohen, Tomer Koren, and Yishay Mansour · 2019
Closest in time.
Learning sparse dynamical systems from a single sample trajectory
Salar Fattahi, Nikolai Matni, and Somayeh Sojoudi · 2019
Closest in time.
Certainty equivalent control of lqr is efficient
Horia Mania, Stephen Tu, and Benjamin Recht · 2019
Closest in time.
Finite-time system identification for partially observed lti systems of unknown order
Tuhin Sarkar, Alexander Rakhlin, and Munther A Dahleh · 2019
Closest in time.
Episodic learning with control lyapunov functions for uncertain robotic systems
Andrew J Taylor, Victor D Dorobantu, Hoang M Le, Yisong Yue, and Aaron D Ames · 2019
Closest in time.
Finite sample analysis of stochastic system identification
Anastasios Tsiamis and George J Pappas · 2019
Closest in time.