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SafetyNet: Safe planning for real-world self-driving vehicles using
  machine-learned policies

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies

28 September 2021
Matt Vitelli
Yan-Xia Chang
Yawei Ye
Maciej Wołczyk
Bla.zej Osiñski
Moritz Niendorf
Hugo Grimmett
Qiangui Huang
Ashesh Jain
Peter Ondruska
ArXivPDFHTML

Papers citing "SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies"

19 / 19 papers shown
Title
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
Ahmed Abouelazm
Mianzhi Liu
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
29
0
0
10 May 2025
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
Marius Baden
Ahmed Abouelazm
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
31
0
0
10 May 2025
Decoupled Diffusion Sparks Adaptive Scene Generation
Decoupled Diffusion Sparks Adaptive Scene Generation
Yunsong Zhou
Naisheng Ye
William Ljungbergh
Tianyu Li
Jiazhi Yang
Zetong Yang
Hongzi Zhu
Christoffer Petersson
Hongyang Li
44
1
0
14 Apr 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng
Ruiming Liang
Kexin Zheng
Jinliang Zheng
Liyuan Mao
...
Weihao Gu
Rui Ai
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
68
6
0
26 Jan 2025
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
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive
  Through Work Zones
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Anurag Ghosh
R. Tamburo
Shen Zheng
Juan R. Alvarez-Padilla
Hailiang Zhu
Michael Cardei
Nicholas Dunn
Christoph Mertz
Srinivasa G. Narasimhan
44
1
0
11 Jun 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
32
31
0
07 Mar 2024
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
Wenzhao Zheng
Weiliang Chen
Yuanhui Huang
Borui Zhang
Yueqi Duan
Jiwen Lu
VGen
40
69
0
27 Nov 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
26
92
0
21 Dec 2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
S. Pini
C. Perone
Aayush Ahuja
Ana Ferreira
Moritz Niendorf
Sergey Zagoruyko
23
36
0
03 Nov 2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
35
36
0
26 Oct 2022
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
36
94
0
25 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
43
58
0
18 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted
  Empirical Risk Minimization
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar
Yiming Zhang
S. Pini
Simon Stent
Ana Ferreira
Sergey Zagoruyko
C. Perone
OffRL
20
1
0
05 Oct 2022
Learning from Demonstrations of Critical Driving Behaviours Using
  Driver's Risk Field
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
Yurui Du
F. S. Acerbo
Jens Kober
Tong Duy Son
21
4
0
04 Oct 2022
Exploring the trade off between human driving imitation and safety for
  traffic simulation
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle
S. Sabatini
D. Tsishkou
C. Sabourin
27
4
0
09 Aug 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
295
0
31 May 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
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