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Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving

Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving

7 March 2024
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
Shakiba Yaghoubi
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
ArXivPDFHTML

Papers citing "Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving"

28 / 28 papers shown
Title
CaRL: Learning Scalable Planning Policies with Simple Rewards
CaRL: Learning Scalable Planning Policies with Simple Rewards
Bernhard Jaeger
D. Dauner
Jens Beißwenger
Simon Gerstenecker
Kashyap Chitta
Andreas Geiger
43
0
0
24 Apr 2025
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
Wei-Jer Chang
W. Zhan
M. Tomizuka
Manmohan Chandraker
Francesco Pittaluga
21
0
0
15 Apr 2025
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
Reo Abe
Akifumi Ito
Kanata Takayasu
Satoshi Kurihara
LLMAG
36
0
0
02 Apr 2025
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Luke Rowe
Roger Girgis
Anthony Gosselin
Liam Paull
C. Pal
Felix Heide
DiffM
VGen
33
1
0
28 Mar 2025
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous Driving
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous Driving
Yusen Xie
Zhengmin Huang
Shaojie Shen
Jun Ma
38
0
0
25 Mar 2025
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
Kailin Li
Zhenxin Li
Shiyi Lan
Yuan Xie
Zhizhong Zhang
J. Liu
Zuxuan Wu
Zhiding Yu
Jose M.Alvarez
44
1
0
17 Mar 2025
MTGS: Multi-Traversal Gaussian Splatting
MTGS: Multi-Traversal Gaussian Splatting
Tianyu Li
Yihang Qiu
Zhenhua Wu
Carl Lindström
Peng Su
Matthias Nießner
Hongyang Li
3DGS
60
0
0
16 Mar 2025
LeAP: Consistent multi-domain 3D labeling using Foundation Models
LeAP: Consistent multi-domain 3D labeling using Foundation Models
Simon Gebraad
Andras Palffy
Holger Caesar
84
1
0
06 Feb 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Y. Yang
VGen
66
5
0
20 Jan 2025
Explainable deep learning improves human mental models of self-driving
  cars
Explainable deep learning improves human mental models of self-driving cars
Eoin M. Kenny
Akshay Dharmavaram
Sang Uk Lee
Tung Phan-Minh
Shreyas Rajesh
Yunqing Hu
Laura Major
Momchil S. Tomov
Julie A. Shah
67
0
0
27 Nov 2024
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao
Shaoyu Chen
Haoran Yin
Bo Jiang
Cheng Wang
...
Xinbang Zhang
Xiangyu Li
Y. Zhang
Qian Zhang
Xinggang Wang
92
14
0
22 Nov 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Di Zeng
Ling Zheng
Xiantong Yang
Yinong Li
16
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
41
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
13
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
16
3
0
26 Sep 2024
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
69
0
0
21 Sep 2024
Optimization of Rulebooks via Asymptotically Representing Lexicographic
  Hierarchies for Autonomous Vehicles
Optimization of Rulebooks via Asymptotically Representing Lexicographic Hierarchies for Autonomous Vehicles
Matteo Penlington
A. Zanardi
Emilio Frazzoli
19
0
0
17 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
26
1
0
14 Sep 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and
  Benchmarking
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
D. Dauner
Marcel Hallgarten
Tianyu Li
Xinshuo Weng
Zhiyu Huang
...
Igor Gilitschenski
B. Ivanovic
Marco Pavone
Andreas Geiger
Kashyap Chitta
46
5
0
21 Jun 2024
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop
  End-To-End Autonomous Driving
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
Xiaosong Jia
Zhenjie Yang
Qifeng Li
Zhiyuan Zhang
Junchi Yan
ELM
29
36
0
06 Jun 2024
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Yiming Li
Zehong Wang
Yue Wang
Zhiding Yu
Zan Gojcic
Marco Pavone
Chen Feng
Jose M. Alvarez
3DGS
43
1
0
27 May 2024
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous
  Driving
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
William Ljungbergh
Adam Tonderski
Joakim Johnander
Holger Caesar
Kalle Åström
Michael Felsberg
Christoffer Petersson
19
19
0
11 Apr 2024
SLEDGE: Synthesizing Driving Environments with Generative Models and
  Rule-Based Traffic
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
Kashyap Chitta
D. Dauner
Andreas Geiger
3DGS
36
5
0
26 Mar 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent
  World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Qifeng Li
Xiaosong Jia
Shaobo Wang
Junchi Yan
12
27
0
26 Feb 2024
GameFormer: Game-theoretic Modeling and Learning of Transformer-based
  Interactive Prediction and Planning for Autonomous Driving
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
Zhiyu Huang
Haochen Liu
Chen Lv
OffRL
54
89
0
10 Mar 2023
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
92
99
0
03 May 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
123
421
0
20 Apr 2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
Binh Yang
Min Bai
Ming Liang
Wenyuan Zeng
R. Urtasun
3DPC
110
42
0
17 Jan 2021
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