Autonomous Racing

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (86 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Performance-driven Constrained Optimal Auto-Tuner for MPC
  10 Mar 2025 2 repositories listed
  A key challenge in tuning Model Predictive Control (MPC) cost function parameters is to ensure that the system performance stays consistently above a certain threshold.
• Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
  4 Jan 2023 2 repositories listed
  In this letter, we propose a model parameter identification method via a hyperparameter optimization scheme (MI-HPO).
• YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
  22 Dec 2021 2 repositories listed
  As autonomous vehicles and autonomous racing rise in popularity, so does the need for faster and more accurate detectors.
• A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
  10 Mar 2025 1 repository listed
  Guaranteeing constraint satisfaction is challenging in imitation learning (IL), particularly in tasks that require operating near a system's handling limits.
• Generalizable Image Repair for Robust Visual Autonomous Racing
  7 Mar 2025 1 repository listed
  We evaluated our method in a simulated autonomous racing environment with various visual corruptions.
• RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
  28 Jan 2025 1 repository listed
  This hybrid approach leverages the reliability and interpretability of PP while using RL to fine-tune the controller's performance in real-world scenarios.
• Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
  6 Jan 2025 1 repository listed
  The latent space can be more easily explored during the search for a proposal distribution, and samples from the proposal distribution are recovered in the space of the target distribution via the invertible mapping.
• Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing
  24 Dec 2024 1 repository listed
  Traditional sequential network approaches may struggle to meet the real-time knowledge and decision-making demands of an autonomous agent covering large displacements in a short time.
• TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
  9 Oct 2024 1 repository listed
  Prior research has demonstrated the effectiveness of end-to-end deep learning for robotic navigation, where the control signals are directly derived from raw sensory data.
• Learning-based model predictive control with moving horizon state estimation for autonomous racing
  28 Sep 2024 1 repository listed
  This paper addresses autonomous racing by introducing a real-time nonlinear model predictive controller (NMPC) coupled with a moving horizon estimator (MHE).
• A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
  23 Jul 2024 1 repository listed
  Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has…
• Learning Local Control Barrier Functions for Hybrid Systems
  26 Jan 2024 1 repository listed
  Our approach is computationally efficient, minimally invasive to any reference controller, and applicable to large-scale systems.
• Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
  16 Dec 2023 1 repository listed
  Deep reinforcement learning (RL) approaches have been broadly applied to a large number of robotics tasks, such as robot manipulation and autonomous driving.
• Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race Car
  24 Nov 2023 1 repository listed
  The advent of autonomous vehicle technologies has significantly impacted various sectors, including motorsport, where Formula Student and Formula: Society of Automotive Engineers introduced autonomous racing classes.
• MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
  1 Mar 2023 1 repository listed
  In this paper, we propose MEGA-DAgger, a new DAgger variant that is suitable for interactive learning with multiple imperfect experts.
• Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
  14 Feb 2023 1 repository listed
  We propose a residual vehicle controller for autonomous racing cars that learns to amend a classical controller for the path-following of racing lines.
• Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture
  11 Oct 2021 1 repository listed
  In this work, we present a rigorous end-to-end control strategy for autonomous vehicles aimed at minimizing lap times in a time attack racing event.
• Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
  18 Jul 2021 1 repository listed
  In this work, we present a general deep imitative reinforcement learning approach (DIRL), which successfully achieves agile autonomous racing using visual inputs.
• Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
  22 Mar 2021 1 repository listed
  Existing research on autonomous driving primarily focuses on urban driving, which is insufficient for characterising the complex driving behaviour underlying high-speed racing.
• Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
  8 Mar 2021 1 repository listed
  World models learn behaviors in a latent imagination space to enhance the sample-efficiency of deep reinforcement learning (RL) algorithms.
• Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
  28 Jul 2020 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Autonomous racing provides the opportunity to test safety-critical perception pipelines at their limit.
• BayesRace: Learning to race autonomously using prior experience
  10 May 2020 1 repository listed
  Autonomous race cars require perception, estimation, planning, and control modules which work together asynchronously while driving at the limit of a vehicle's handling capability.
• DeepRacing: Parameterized Trajectories for Autonomous Racing
  6 May 2020 1 repository listed
  DeepRacing is a novel end-to-end framework, and a virtual testbed for training and evaluating algorithms for autonomous racing.
• FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
  9 Mar 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Balancing performance and safety is crucial to deploying autonomous vehicles in multi-agent environments.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.