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Multimodal dynamics modeling for off-road autonomous vehicles
v1v2 (latest)

Multimodal dynamics modeling for off-road autonomous vehicles

IEEE International Conference on Robotics and Automation (ICRA), 2020
23 November 2020
J. Tremblay
Travis Manderson
Aurélio Noca
Gregory Dudek
David Meger
ArXiv (abs)PDFHTML

Papers citing "Multimodal dynamics modeling for off-road autonomous vehicles"

13 / 13 papers shown
DRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty
DRIVE Through the Unpredictability:From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty
Nicolas Samson
William Larrivée-Hardy
William Dubois
Élie Roy-Brouard
Edith Brotherton
Dominic Baril
Julien Lépine
F. Pomerleau
154
1
0
19 Jun 2025
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
Taimeng Fu
Zitong Zhan
Zhipeng Zhao
Shaoshu Su
Xiao Lin
Ehsan Esfahani
Karthik Dantu
Souma Chowdhury
Chen Wang
Chen Wang
396
5
0
22 Jan 2025
Topological mapping for traversability-aware long-range navigation in
  off-road terrain
Topological mapping for traversability-aware long-range navigation in off-road terrainIEEE International Conference on Robotics and Automation (ICRA), 2024
J. Tremblay
Julie Alhosh
Louis Petit
F. Lotfi
Lara Landauro
David Meger
177
1
0
02 Oct 2024
Comparing Motion Distortion Between Vehicle Field Deployments
Comparing Motion Distortion Between Vehicle Field Deployments
Nicolas Samson
Dominic Baril
Julien Lépine
Franccois Pomerleau
325
1
0
30 Apr 2024
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction
  in Off-road Driving
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Zhipeng Zhao
Bowen Li
Yi Du
Taimeng Fu
Chen Wang
258
13
0
02 Apr 2024
TartanDrive 2.0: More Modalities and Better Infrastructure to Further
  Self-Supervised Learning Research in Off-Road Driving Tasks
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
Matthew Sivaprakasam
Parv Maheshwari
Mateo Guaman Castro
S. Triest
Micah Nye
Steven Willits
Andrew Saba
Wenshan Wang
Sebastian A. Scherer
288
31
0
02 Feb 2024
PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for
  Off-Road Navigation
PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation
Parv Maheshwari
Wenshan Wang
S. Triest
Matthew Sivaprakasam
Shubhra Aich
John G. Rogers
Jason M. Gregory
Sebastian A. Scherer
312
18
0
01 Nov 2023
DRIVE: Data-driven Robot Input Vector Exploration
DRIVE: Data-driven Robot Input Vector ExplorationIEEE International Conference on Robotics and Automation (ICRA), 2023
Dominic Baril
Simon-Pierre Deschênes
Luc Coupal
Cyril Goffin
Julien Lépine
Philippe Giguère
François Pomerleau
266
3
0
19 Sep 2023
Sense, Imagine, Act: Multimodal Perception Improves Model-Based
  Reinforcement Learning for Head-to-Head Autonomous Racing
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing
Elena Shrestha
C. Reddy
Hanxi Wan
Yulun Zhuang
Ram Vasudevan
227
1
0
08 May 2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally
  Driving With Model Predictive Path Integral Control
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral ControlIEEE Robotics and Automation Letters (RA-L), 2023
Ho-Woon Lee
Taekyung Kim
Jungwi Mun
Wonsuk Lee
308
28
0
01 May 2023
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics ModelsIEEE International Conference on Robotics and Automation (ICRA), 2022
S. Triest
Matthew Sivaprakasam
Sean J. Wang
Wenshan Wang
Aaron M. Johnson
Sebastian Scherer
414
76
0
03 May 2022
Geometric Multimodal Contrastive Representation Learning
Geometric Multimodal Contrastive Representation LearningInternational Conference on Machine Learning (ICML), 2022
Petra Poklukar
Miguel Vasco
Hang Yin
Francisco S. Melo
Ana Paiva
Danica Kragic
304
67
0
07 Feb 2022
Learning Intuitive Physics with Multimodal Generative Models
Learning Intuitive Physics with Multimodal Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2021
S. Rezaei-Shoshtari
F. Hogan
M. Jenkin
David Meger
Gregory Dudek
606
9
0
12 Jan 2021
1
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