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Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only.
Knowledge-based training of artificial neural networks for autonomous robot driving
Dean A Pomerleau · 1993
Earlier work this paper cites.
The demo iii ugv program: A testbed for autonomous navigation research
Charles M Shoemaker and Jonathan A Bornstein · 1998
Earlier work this paper cites.
The darpa grand challenge-development of an autonomous vehicle
Reinhold Behringer, Sundar Sundareswaran, Brian Gregory, Richard Elsley, Bob Addison, Wayne Guthmiller, Robert Daily, and David Bevly · 2004
Earlier work this paper cites.
The real roadrunner , volume 9
Martha Anne Maxon · 2005
Earlier work this paper cites.
Obstacle detection and terrain classification for autonomous off-road navigation
Roberto Manduchi, Andres Castano, Ashit Talukder, and Larry Matthies · 2005
Earlier work this paper cites.
Off-road obstacle avoidance through end-to-end learning
Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp, and Yann Cun · 2005
Earlier work this paper cites.
Toward reliable off road autonomous vehicles operating in challenging environments
Alonzo Kelly, Anthony Stentz, Omead Amidi, Mike Bode, David Bradley, Antonio Diaz-Calderon, Mike Happold, Herman Herman, Robert Mandelbaum, Tom Pilarski, et al · 2006
Earlier work this paper cites.
Traversability classification using unsupervised on-line visual learning for outdoor robot navigation
Dongshin Kim, Jie Sun, Sang Min Oh, J.M. Rehg, and A.F. Bobick · 2006
Earlier work this paper cites.
The darpa lagr program: Goals, challenges, methodology, and phase i results
L. D. Jackel, Eric Krotkov, Michael Perschbacher, Jim Pippine, and Chad Sullivan · 2006
Earlier work this paper cites.
Probabilistic terrain analysis for high-speed desert driving
Sebastian Thrun, Michael Montemerlo, and Andrei Aron · 2006
Earlier work this paper cites.
A robust approach to high-speed navigation for unrehearsed desert terrain
Chris Urmson, Charlie Ragusa, David Ray, Joshua Anhalt, Daniel Bartz, Tugrul Galatali, Alexander Gutierrez, Josh Johnston, Sam Harbaugh, Hiroki “Yu” Kato, et al · 2006
Earlier work this paper cites.
Multi-level surface maps for outdoor terrain mapping and loop closing
Rudolph Triebel, Patrick Pfaff, and Wolfram Burgard · 2006
Earlier work this paper cites.
Online learning for offroad robots: Using spatial label propagation to learn long-range traversability
Raia Hadsell, Pierre Sermanet, Jan Ben, A Erkan, Jeff Han, Beat Flepp, Urs Muller, and Yann LeCun · 2007
Earlier work this paper cites.
Learning long-range vision for autonomous off-road driving
Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, and Yann LeCun · 2009
Earlier work this paper cites.
Mapping, navigation, and learning for off-road traversal
Kurt Konolige, Motilal Agrawal, Morten Rufus Blas, Robert C Bolles, Brian Gerkey, Joan Sola, and Aravind Sundaresan · 2009
Earlier work this paper cites.
Self-supervised terrain classification for planetary surface exploration rovers
Christopher A Brooks and Karl Iagnemma · 2012
Earlier work this paper cites.
Scene understanding for a high-mobility walking robot
David M. Bradley, Jonathan K. Chang, David Silver, Matthew Powers, Herman Herman, Peter Rander, and Anthony Stentz · 2015
Earlier work this paper cites.
Risk-aware planetary rover operation: Autonomous terrain classification and path planning
Masahiro Ono, Thoams J Fuchs, Amanda Steffy, Mark Maimone, and Jeng Yen · 2015
Earlier work this paper cites.
Maximum entropy deep inverse reinforcement learning
Markus Wulfmeier, Peter Ondruska, and Ingmar Posner · 2015
Earlier work this paper cites.
Deep multispectral semantic scene understanding of forested environments using multimodal fusion
Abhinav Valada, Gabriel Oliveira, Thomas Brox, and Wolfram Burgard · 2016
Earlier work this paper cites.
Spoc: Deep learning-based terrain classification for mars rover missions , page 5539
Brandon Rothrock, Ryan Kennedy, Chris Cunningham, Jeremie Papon, Matthew Heverly, and Masahiro Ono · 2016
Earlier work this paper cites.
Autonomous terrain classification with co- and self-training approach
Kyohei Otsu, Masahiro Ono, Thomas J. Fuchs, Ian Baldwin, and Takashi Kubota · 2016
Earlier work this paper cites.
How should a robot assess risk? towards an axiomatic theory of risk in robotics
Anirudha Majumdar and Marco Pavone · 2017
Earlier work this paper cites.
Real-time semantic mapping for autonomous off-road navigation
Daniel Maturana, Po-Wei Chou, Masashi Uenoyama, and Sebastian Scherer · 2017
Earlier work this paper cites.
Geometric and visual terrain classification for autonomous mobile navigation
Fabian Schilling, Xi Chen, John Folkesson, and Patric Jensfelt · 2017
Earlier work this paper cites.
Safe visual navigation via deep learning and novelty detection
Charles Richter and Nicholas Roy · 2017
Earlier work this paper cites.
Normal distributions transform traversability maps: lidar-only approach for traversability mapping in outdoor environments
Juhana Ahtiainen, Todor Stoyanov, and Jari Saarinen · 2017
Earlier work this paper cites.
Information theoretic mpc for model-based reinforcement learning
Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, and Evangelos A. Theodorou · 2017
Earlier work this paper 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
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Earlier work this paper cites.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 2019
Cited alongside, same era.
A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments
Maggie Wigness, Sungmin Eum, John G Rogers, David Han, and Heesung Kwon · 2019
Cited alongside, same era.
Vision-based estimation of driving energy for planetary rovers using deep learning and terramechanics
Shoya Higa, Yumi Iwashita, Kyohei Otsu, Masahiro Ono, Olivier Lamarre, Annie Didier, and Mark Hoffmann · 2019
Cited alongside, same era.
Orthographic feature transform for monocular 3d object detection
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Probabilistic traversability model for risk-aware motion planning in off-road environments
Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R Osteen, and Jonathan P How · 2022
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Self-supervised traversability prediction by learning to reconstruct safe terrain
Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, et al · 2022
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Autonomous exploration development environment and the planning algorithms
Chao Cao, Hongbiao Zhu, Fan Yang, Yukun Xia, Howie Choset, Jean Oh, and Ji Zhang · 2022
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Heterogeneous ground and air platforms, homogeneous sensing: Team CSIRO data61’s approach to the DARPA subterranean challenge
Nicolas Hudson, Fletcher Talbot, Mark Cox, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernandez, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitchell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew O’Brien, Shu Jiang, Shengkang Chen, and Ronald Arkin · 2022
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Jonah Philion and Sanja Fidler · 2020
Cited alongside, same era.
Path planning with local motion estimations
Jérôme Guzzi, R. Omar Chavez-Garcia, Mirko Nava, Luca Maria Gambardella, and Alessandro Giusti · 2020
Cited alongside, same era.
Safe Robot Navigation Via Multi-Modal Anomaly Detection
Lorenz Wellhausen, René Ranftl, and Marco Hutter · 2020
Cited alongside, same era.
Autonomous spot: Long-range autonomous exploration of extreme environments with legged locomotion
Amanda Bouman, Muhammad Fadhil Ginting, Nikhilesh Alatur, Matteo Palieri, David D Fan, Thomas Touma, Torkom Pailevanian, Sung-Kyun Kim, Kyohei Otsu, Joel Burdick, et al · 2020
Cited alongside, same era.
Bev-seg: Bird’s eye view semantic segmentation using geometry and semantic point cloud
Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, and Joseph E. Gonzalez · 2020
Cited alongside, same era.
MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark
MMSegmentation Contributors · 2020
Cited alongside, same era.
Airborne particle classification in lidar point clouds using deep learning
Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, Cesar Cadena, and Thierry Peynot · 2021
Cited alongside, same era.
Learning forward dynamics model and informed trajectory sampler for safe quadruped navigation
Yunho Kim, Chanyoung Kim, and Jemin Hwangbo · 2022
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Vi-ikd: High-speed accurate off-road navigation using learned visual-inertial inverse kinodynamics
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, and Joydeep Biswas · 2022
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Mˆ 2bev: Multi-camera joint 3d detection and segmentation with unified birds-eye view representation
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, and Jose M Alvarez · 2022
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Translating images into maps
Avishkar Saha, Oscar Mendez, Chris Russell, and Richard Bowden · 2022
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Graph-based multi-sensor fusion for consistent localization of autonomous construction robots
Julian Nubert, Shehryar Khattak, and Marco Hutter · 2022
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G-vom: A gpu accelerated voxel off-road mapping system
Timothy Overbye and Srikanth Saripalli · 2022
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xingyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2023
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Fast Traversability Estimation for Wild Visual Navigation
Jonas Frey, Matias Mattamala, Nived Chebrolu, Cesar Cadena, Maurice Fallon, and Marco Hutter · 2023
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Viplanner: Visual semantic imperative learning for local navigation
Pascal Roth, Julian Nubert, Fan Yang, Mayank Mittal, and Marco Hutter · 2023
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Mem: Multi-modal elevation mapping for robotics and learning
Gian Erni, Jonas Frey, Takahiro Miki, Matias Eduardo Mattamala Aravena, and Marco Hutter · 2023
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Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, and Genya Ishigami · 2023
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Terrainnet: Visual modeling of complex terrain for high-speed, off-road navigation
Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, JoonHo Lee, Wentao Yuan, Zoey Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, and Amirreza Shaban · 2023
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How does it feel? self-supervised costmap learning for off-road vehicle traversability
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M Gregory, Felix Sanchez, John G Rogers, and Sebastian Scherer · 2023
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Learning off-road terrain traversability with self-supervisions only
Junwon Seo, Sungdae Sim, and Inwook Shim · 2023
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Evora: Deep evidential traversability learning for risk-aware off-road autonomy
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, and Jonathan P. How · 2023
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V-strong: Visual self-supervised traversability learning for off-road navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, and Alexander Lambert · 2023
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Learning-on-the-drive: Self-supervised adaptation of visual offroad traversability models
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, and Sebastian Scherer · 2023
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Artplanner: Robust legged robot navigation in the field
Lorenz Wellhausen and Marco Hutter · 2023
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Learning risk-aware costmaps via inverse reinforcement learning for off-road navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, and Sebastian A. Scherer · 2023
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Step: Stochastic traversability evaluation and planning for risk-aware off-road navigation; results from the darpa subterranean challenge, 2023
Anushri Dixit, David D. Fan, Kyohei Otsu, Sharmita Dey, Ali-Akbar Agha-Mohammadi, and Joel W. Burdick · 2023
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Simple-BEV: What really matters for multi-sensor bev perception?
Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, and Katerina Fragkiadaki · 2023
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LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction
Manuel Alejandro Diaz-Zapata, David Sierra González, Özgür Erkent, Jilles Dibangoye, and Christian Laugier · 2023
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Rose: Robust state estimation via online covariance adaption
Seyed Fakoorian, Kyohei Otsu, Shehryar Khattak, Matteo Palieri, and Ali-akbar Agha-mohammadi · 2023
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A multi-step dynamics modeling framework for autonomous driving in multiple environments, 2023
Jason Gibson, Bogdan Vlahov, David Fan, Patrick Spieler, Daniel Pastor, Ali akbar Agha-mohammadi, and Evangelos A. Theodorou · 2023
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Duality robotics - falcon pro simulator, 2023
Duality Robotics, Inc · 2023
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