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Simulation is an integral part in the process of developing autonomous vehicles and advantageous for training, validation, and verification of driving functions.
SUMO - Simulation of Urban Mobility: An Overview
Michael Behrisch, Laura Bieker, Jakob Erdmann, and Daniel Krajzewicz · 2011
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Automatic scenario generation based on laserscanner reference data and advanced offline processing
Ulrich Lages, Martin Spencer, and Roman Katz · 2013
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Semivirtual simulations for the evaluation of vision-based ADAS
Marc René Zofka, Ralf Kohlhaas, Thomas Schamm, and J. Marius Zöllner · 2014
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Marc René Zofka, Florian Kuhnt, Ralf Kohlhaas, Christoph Rist, Thomas Schamm, and J. Marius Zöllner · 2015
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CommonRoad: Composable benchmarks for motion planning on roads
Matthias Althoff, Markus Koschi, and Stefanie Manzinger · 2017
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CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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A survey on the procedural generation of virtual worlds
Jonas Freiknecht and Wolfgang Effelsberg · 2017
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Streetgan: Towards road network synthesis with generative adversarial networks
Stefan Hartmann, Michael Weinmann, Raoul Wessel, and Reinhard Klein · 2017
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Deep Stochastic Radar Models
Martin Holder Holder, Tim A Wheeler Wheeler, Hermann Winner Winner, and Mykel J Kochenderfer Kochenderfer · 2017
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Convolutional social pooling for vehicle trajectory prediction
Nachiket Deo and Mohan M Trivedi · 2018
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Multi-modal trajectory prediction of surrounding vehicles with maneuver based LSTMs
Nachiket Deo and Mohan M Trivedi · 2018
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AUREATE: An Augmented Reality Test Environment for Realistic Simulations
Tejaswi Koduri, Daniel Bogdoll, Shreyasha Paudel, and Gautham Sholingar · 2018
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FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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The sleepwalker framework: Verification and validation of autonomous vehicles by mixed reality LiDAR stimulation
Marc René Zofka, Marc Essinger, Tobias Fleck, Ralf Kohlhaas, and J. Marius Zöllner · 2018
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Joshua Fadaie · 2019
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Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments
Yue Kang, Hang Yin, and Christian Berger · 2019
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Generating Critical Test Scenarios for Automated Vehicles with Evolutionary Algorithms, 2019
Moritz Klischat and Matthias Althoff · 2019
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GeoScenario: An Open DSL for Autonomous Driving Scenario Representation
Rodrigo Queiroz, Thorsten Berger, and Krzysztof Czarnecki · 2019
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Habitat: A platform for embodied ai research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, et al · 2019
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Akifumi Wachi · 2019
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Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, and Zhenhui Li · 2019
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Simulating dynamic driving behavior in simulation test for unmanned vehicles via multi-sensor data
Danchen Zhao, Yaochen Li, and Yuehu Liu · 2019
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Learning Camera-Aware Noise Models
Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, and Hwann-Tzong Chen · 2020
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Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation, 2020
Jeevan Devaranjan, Amlan Kar, and Sanja Fidler · 2020
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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
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Scene understanding with automotive radar
Ole Schumann, Jakob Lombacher, Markus Hahn, Christian Wöhler, and Jürgen Dickmann · 2020
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SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, and Henrik Kretzschmar · 2020
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Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches
Hesham Alghodhaifi and Sridhar Lakshmanan · 2021
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Adversarial Reinforcement Learning for Procedural Content Generation
Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, and Konrad Tollmar · 2021
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A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving
Zoltan Ferenc Magosi, Hexuan Li, Philipp Rosenberger, Li Wan, and Arno Eichberger · 2022
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A Lightweight Machine Learning Pipeline for LiDAR-simulation
Richard Marcus, Niklas Knoop, Bernhard Egger, and Marc Stamminger · 2022
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Modeling and Simulation of an Automotive RADAR
Preeti S. Pillai, Raghavendra Shet, Nalini C. Iyer, and Sahana Punagin · 2022
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DreamFusion: Text-to-3D using 2D Diffusion, 2022
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2022
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Generating useful accident-prone driving scenarios via a learned traffic prior
Davis Rempe, Jonah Philion, Leonidas J Guibas, Sanja Fidler, and Or Litany · 2022
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Prabhjot Kaur, Samira Taghavi, Zhaofeng Tian, and Weisong Shi · 2021
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DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim, Jonah Philion, Antonio Torralba, and Sanja Fidler · 2021
Cited alongside, same era.
Improving the Generalization of End-to-End Driving through Procedural Generation, 2021
Quanyi Li, Zhenghao Peng, Qihang Zhang, Chunxiao Liu, and Bolei Zhou · 2021
Cited alongside, same era.
Vehicle trajectory prediction using LSTMs with spatial–temporal attention mechanisms
Lei Lin, Weizi Li, Huikun Bi, and Lingqiao Qin · 2021
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
Anthony Ngo, Max Bauer, and Michael Resch · 2021
Cited alongside, same era.
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment
Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, and Eric Sax · 2022
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Block-NeRF: Scalable Large Scene Neural View Synthesis, 2022
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul Srinivasan, Jonathan T Barron, Henrik Kretzschmar, and Uc Berkeley · 2022
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BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin · 2022
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Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development
Bo Yu, Chongyu Chen, Jie Tang, Shaoshan Liu, and Jean-Luc Gaudiot · 2022
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Guided Conditional Diffusion for Controllable Traffic Simulation, 2022
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2022
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Open Simulation Interface
Association for Standardization of Automation and Measuring Systems · 2023
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OpenSCENARIO 2.0
Association for Standardization of Automation and Measuring Systems · 2023
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A survey on safety-critical driving scenario generation—A methodological perspective
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, and Ding Zhao · 2023
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Eclipse Cloe™, 2020
Eclipse Foundation · 2023
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OpenMATERIAL, 2023
Ludwig Friedman · 2023
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Unreal Engine 5.2 Tech Demo Full Presentation - State of Unreal GDC 2023, 2023
GameSpot · 2023
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Radar Signal Simulation and Processing for Automated Driving - MATLAB & Simulink
MathWorks · 2023
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Data-driven Sensor Simulation for Realistic LiDARs, 2022
Microsoft Research · 2023
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DRIVE Sim. Simulation for Self-Driving Cars
NVIDIA · 2023
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RadarSimPy, 2023
Zhengyu Peng · 2023
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How Waabi World works
Waabi · 2023
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Block-NeRF
Waymo · 2023
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Criticality metrics for automated driving: A review and suitability analysis of the state of the art
Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara Schütt, Fabian Utesch, Birte Neurohr, Christian Gutenkunst, and Eckard Böde · 2023
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