LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Not on the map. Why?
Cited by 31 in End-to-end autonomous driving, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car and the corresponding sensors. Although several free and open-source autonomous driving stacks, such as Autoware and Apollo are available, choices of open-source simulators to use with them are limited. In this paper, we introduce the LGSVL Simulator which is a high fidelity simulator for autonomous driving. The simulator engine provides end-to-end, full-stack simulation which is ready to be hooked up to Autoware and Apollo. In addition, simulator tools are provided with the core simulation engine which allow users to easily customize sensors, create new types of controllable objects, replace some modules in the core simulator, and create digital twins of particular environments.
Key facts. Cited by 119 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2020.
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Citing papers per year: 2021: 18; 2022: 16; 2023: 18; 2024: 23; 2025: 29; 2026: 15.
119 papers.
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38 more
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- 2021Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehiclescited by 33
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- 2023Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Drivingcited by 26
- 2021Can Offline Testing of Deep Neural Networks Replace Their Online Testing?cited by 24
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50 most cited of 119 All 119 (JSON)
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38 more
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- 2024Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinement23 Sep 2024
50 newest of 119 All 119 (JSON)
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- 2024Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agentscited by 91
- 2025Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Modelscited by 80
- 2022Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racingcited by 56
- 2025RAP: 3D Rasterization Augmented End-to-End Planningcited by 39
- 2025Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysiscited by 37
- 2021Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehiclescited by 33
- 2021A Survey on Simulators for Testing Self-Driving Carscited by 26
- 2021Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehiclescited by 19
- 2022AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Educationcited by 10
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- 2026TrafficSignBench: Rule-Centric Closed-Loop Evaluation of Traffic-Sign Compliance in Autonomous Driving29 Sep 2026
- 2026DecoupleGS: Interactive 3D Gaussian Splatting for End-to-End Autonomous Driving Testing3 Aug 2026
- 2026CommonRoad-Game: A Human-in-the-Loop Simulation Framework for Autonomous Driving1 Jul 2026
- 2026From Driving Videos to Simulatable Scenarios20 Jun 2026
- 2026From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving18 Mar 2026
- 2025RAP: 3D Rasterization Augmented End-to-End Planning5 Oct 2025
- 2025Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based Perception15 Sep 2025
- 2025When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving30 Jun 2025
- 2025Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis13 Jun 2025
- 2025Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models10 Jun 2025
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- 2026GenAssets: Generating in-the-wild 3D Assets in Latent Space24 Apr 2026
- 20253D Scene Generation: A Survey8 May 2025
- 2025Unsupervised Class Generation to Expand Semantic Segmentation Datasets4 Jan 2025
- 2024Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinementcited by 4
- 2025CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolutioncited by 3
- 2025A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Drivingcited by 1
- 2025A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving17 Jun 2025
- 2025CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolution3 Mar 2025
- 2024Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinement23 Sep 2024
- 2024SGD: Street View Synthesis with Gaussian Splatting and Diffusion Priorcited by 36
- 2026Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challengescited by 3
- 2025AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reportscited by 2
- 2026Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges10 Mar 2026
- 2025AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports26 Mar 2025
- 2024SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior29 Mar 2024
- 2023Identifying the Risks of LM Agents with an LM-Emulated Sandboxcited by 514
- 2022VectorMapNet: End-to-end Vectorized HD Map Learningcited by 243
- 2022On Adversarial Robustness of Trajectory Prediction for Autonomous Vehiclescited by 89
- 2021VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehiclescited by 81
- 2023Neural Map Prior for Autonomous Drivingcited by 68
- 2023How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligencecited by 55
- 2023Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attackcited by 37
- 2021Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulationcited by 32
- 2024EgoGen: An Egocentric Synthetic Data Generatorcited by 27
- 2021Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehiclescited by 26
- 2023Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Drivingcited by 26
- 2021Can Offline Testing of Deep Neural Networks Replace Their Online Testing?cited by 24
- 2021A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulationcited by 21
12 most cited of 78 All 78 (JSON)
- 2026Detecting Trojaned DNNs via Spectral Regression Analysis20 May 2026
- 2026From Concept to Capability: Evaluating 3D Gaussian Splatting for Synthetic Scene Editing in Autonomous Driving3 May 2026
- 2026ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation18 Apr 2026
- 2026CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence30 Mar 2026
- 2026An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving28 Mar 2026
- 2026HyPER-GAN: Hybrid Patch-Based Image-to-Image Translation for Real-Time Photorealism Enhancement in Game Engines11 Mar 2026
- 2026ROMAN: Reward-Orchestrated Multi-Head Attention Network for Autonomous Driving System Testing5 Feb 2026
- 2025HABIT: Human Action Benchmark for Interactive Traffic in CARLA24 Nov 2025
- 2025Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard18 Nov 2025
- 2025Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance11 Nov 2025
- 2025When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks16 Oct 2025
- 2025High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception3 Sep 2025
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