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DiffStack: A Differentiable and Modular Control Stack for Autonomous
  Vehicles

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

13 December 2022
Peter Karkus
B. Ivanovic
Shie Mannor
Marco Pavone
ArXivPDFHTML

Papers citing "DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles"

36 / 36 papers shown
Title
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
Morui Zhu
Yongqi Zhu
Yihao Zhu
Qi Chen
Deyuan Qu
Song Fu
Q. Yang
26
0
0
10 May 2025
Incorporating System-level Safety Requirements in Perception Models via
  Reinforcement Learning
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning
Weisi Fan
Jesse Lane
Qisai Liu
S. Sarkar
Tichakorn Wongpiromsarn
72
0
0
04 Dec 2024
Predictability Awareness for Efficient and Robust Multi-Agent
  Coordination
Predictability Awareness for Efficient and Robust Multi-Agent Coordination
Roman Chiva Gil
Daniel Jarne Ornia
Khaled A. Mustafa
Javier Alonso-Mora
131
0
0
09 Nov 2024
Learning Multiple Initial Solutions to Optimization Problems
Learning Multiple Initial Solutions to Optimization Problems
Elad Sharony
Heng Yang
Tong Che
Marco Pavone
Shie Mannor
Peter Karkus
31
2
0
04 Nov 2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent
  Models in Autonomous Highway Driving Simulations
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
29
0
0
21 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
131
0
0
13 Oct 2024
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward
  Modeling and Reinforcement Learning Fine-tuning
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
Zhiyu Huang
Xinshuo Weng
Maximilian Igl
Yuxiao Chen
Yulong Cao
B. Ivanovic
Marco Pavone
Chen Lv
26
7
0
08 Oct 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous
  Driving
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu
Li Chen
Yu Qiao
Chen Lv
Hongyang Li
33
3
0
26 Sep 2024
Differentiable Predictive Control for Robotics: A Data-Driven Predictive
  Safety Filter Approach
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach
John Viljoen
Wenceslao Shaw-Cortez
Ján Drgoňa
Sebastian East
Masayoshi Tomizuka
D. Vrabie
21
2
0
20 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Marc Heim
Fráncisco Suarez-Ruiz
Ishraq Bhuiyan
Bruno Brito
Momchil S. Tomov
34
1
0
14 Sep 2024
Rethinking Closed-loop Planning Framework for Imitation-based Model
  Integrating Prediction and Planning
Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning
Jiayu Guo
Mingyue Feng
Pengfei Zhu
Chengjun Li
Jian Pu
43
1
0
07 Jul 2024
Egocentric Scene-aware Human Trajectory Prediction
Egocentric Scene-aware Human Trajectory Prediction
Weizhuo Wang
C. Karen Liu
Monroe Kennedy
41
0
0
27 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
66
6
0
18 Mar 2024
Hybrid-Prediction Integrated Planning for Autonomous Driving
Hybrid-Prediction Integrated Planning for Autonomous Driving
Haochen Liu
Zhiyu Huang
Wenhui Huang
Haohan Yang
Xiaoyu Mo
Chen Lv
26
5
0
04 Feb 2024
LeTO: Learning Constrained Visuomotor Policy with Differentiable
  Trajectory Optimization
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization
Zhengtong Xu
Yu She
27
2
0
30 Jan 2024
Statistically Distinct Plans for Multi-Objective Task Assignment
Statistically Distinct Plans for Multi-Objective Task Assignment
Nils Wilde
Javier Alonso-Mora
29
2
0
12 Dec 2023
Scalarizing Multi-Objective Robot Planning Problems using Weighted
  Maximization
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization
Nils Wilde
Stephen L. Smith
Javier Alonso-Mora
16
4
0
12 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
25
6
0
04 Dec 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen
Meixin Zhu
H. Yang
Xuesong Wang
Yinhai Wang
26
26
0
24 Oct 2023
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data
Rohan Gupta
LLMSV
16
0
0
22 Oct 2023
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation
  for Tree Policy Planning in Autonomous Driving
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
Zhiyu Huang
Peter Karkus
B. Ivanovic
Yuxiao Chen
Marco Pavone
Chen Lv
19
25
0
09 Oct 2023
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
Raphael Chekroun
Thomas Gilles
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
27
9
0
15 Sep 2023
On a Connection between Differential Games, Optimal Control, and
  Energy-based Models for Multi-Agent Interactions
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Torsten Bertram
AI4CE
28
5
0
31 Aug 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based
  Trajectory Predictors
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer
Apoorva Sharma
Marco Pavone
14
4
0
03 Jul 2023
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking
  with Adaptive Spatio-Temporal Appearance Representations
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
Simon Doll
Niklas Hanselmann
Lukas Schneider
Richard Schulz
Markus Enzweiler
Hendrik P. A. Lensch
21
3
0
30 Jun 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
38
262
0
29 Jun 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
M. Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINN
AI4CE
32
30
0
24 Jun 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
36
35
0
16 Jun 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
Parting with Misconceptions about Learning-based Vehicle Motion Planning
D. Dauner
Marcel Hallgarten
Andreas Geiger
Kashyap Chitta
19
113
0
13 Jun 2023
Differentiable Trajectory Generation for Car-like Robots with
  Interpolating Radial Basis Function Networks
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
Hongrui Zheng
Rahul Mangharam
20
1
0
02 Mar 2023
Autonomous Drone Racing: A Survey
Autonomous Drone Racing: A Survey
D. Hanover
Antonio Loquercio
L. Bauersfeld
Angel Romero
Robert Pěnička
Yunlong Song
Giovanni Cioffi
Elia Kaufmann
Davide Scaramuzza
51
58
0
04 Jan 2023
Planning with Occluded Traffic Agents using Bi-Level Variational
  Occlusion Models
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
Filippos Christianos
Peter Karkus
B. Ivanovic
Stefano V. Albrecht
Marco Pavone
19
10
0
26 Oct 2022
Injecting Planning-Awareness into Prediction and Detection Evaluation
Injecting Planning-Awareness into Prediction and Detection Evaluation
B. Ivanovic
Marco Pavone
74
31
0
07 Oct 2021
Propagating State Uncertainty Through Trajectory Forecasting
Propagating State Uncertainty Through Trajectory Forecasting
B. Ivanovic
Yifeng Lin
Shubham Shrivastava
Punarjay Chakravarty
Marco Pavone
75
18
0
07 Oct 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 Jan 2021
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