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Differentiable Control Barrier Functions for Vision-based End-to-End
  Autonomous Driving

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving

4 March 2022
Wei Xiao
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
ArXiv (abs)PDFHTML

Papers citing "Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving"

17 / 17 papers shown
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Rohan Chandra
Shubham Singh
Abhishek Jha
Dannon Andrade
331
3
0
19 Aug 2025
Conformal Safety Shielding for Imperfect-Perception Agents
Conformal Safety Shielding for Imperfect-Perception AgentsRuntime Verification (RV), 2025
William Scarbro
Calum Imrie
Sinem Getir Yaman
Kavan Fatehi
Corina S. Pasareanu
R. Calinescu
Ravi Mangal
202
2
0
12 Jun 2025
Learning Conservative Neural Control Barrier Functions from Offline Data
Learning Conservative Neural Control Barrier Functions from Offline Data
Ihab Tabbara
Hussein Sibai
OffRL
450
0
0
01 May 2025
LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs
LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs
Jeffrey Chen
Rohan Chandra
300
4
0
17 Mar 2025
Learning Ensembles of Vision-based Safety Control Filters
Learning Ensembles of Vision-based Safety Control Filters
Ihab Tabbara
Hussein Sibai
388
3
0
02 Dec 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State
  Diffusion Model for End-to-End Navigation
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
450
6
0
08 Jul 2024
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic
  Environments Using Control Barrier and Lyapunov Functions
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov FunctionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Kazuki Mizuta
Karen Leung
331
31
0
08 Jun 2024
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
Kehan Long
Yinzhuang Yi
Zhirui Dai
Sylvia Herbert
Jorge Cortés
Nikolay Atanasov
855
15
0
28 May 2024
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
Melanie Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINNAI4CE
292
67
0
24 Jun 2023
Dataset Distillation with Convexified Implicit Gradients
Dataset Distillation with Convexified Implicit GradientsInternational Conference on Machine Learning (ICML), 2023
Noel Loo
Ramin Hasani
Mathias Lechner
Daniela Rus
DD
253
55
0
13 Feb 2023
Differentiable Constrained Imitation Learning for Robot Motion Planning
  and Control
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control
Christopher P. Diehl
Janis Adamek
Martin Krüger
F. Hoffmann
Torsten Bertram
390
6
0
21 Oct 2022
Interpreting Neural Policies with Disentangled Tree Representations
Interpreting Neural Policies with Disentangled Tree Representations
Tsun-Hsuan Wang
Wei Xiao
Tim Seyde
Ramin Hasani
Daniela Rus
DRL
309
2
0
13 Oct 2022
On the Forward Invariance of Neural ODEs
On the Forward Invariance of Neural ODEsInternational Conference on Machine Learning (ICML), 2022
Wei Xiao
Tsun-Hsuan Wang
Ramin Hasani
Mathias Lechner
Yutong Ban
Chuang Gan
Daniela Rus
253
11
0
10 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to
  Closed-Loop Causality Gap
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner
Ramin Hasani
Alexander Amini
Tsun-Hsuan Wang
T. Henzinger
Daniela Rus
CMLOOD
272
8
0
09 Oct 2022
DiffTune: Auto-Tuning through Auto-Differentiation
DiffTune: Auto-Tuning through Auto-DifferentiationIEEE Transactions on robotics (TRO), 2022
Sheng Cheng
Minkyung Kim
Lin Song
Chengyu Yang
Zhuohuan Wu
Shenlong Wang
N. Hovakimyan
472
8
0
20 Sep 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of
  Infeasibility
Beyond NaN: Resiliency of Optimization Layers in The Face of InfeasibilityAAAI Conference on Artificial Intelligence (AAAI), 2022
Wai Tuck Wong
Andrew Butler
Ramesha Karunasena
T. Nguyen
Arunesh Sinha
AAML
334
1
0
13 Feb 2022
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
383
35
0
16 Jun 2020
1
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