Copertina

Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jank, Georg, Piccinini, Mattia, Wenk, Sebastian, Pitschi, Phillip, Betz, Johannes, Lohmann, Boris
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles
di: Pitschi, Phillip, et al.
Pubblicazione: (2025)

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars
di: Piccinini, Mattia, et al.
Pubblicazione: (2025)

Robust Nonlinear Trajectory Tracking Control for Autonomous Racing on Three-Dimensional Tracks
di: Bongard, Joscha F., et al.
Pubblicazione: (2026)

Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning
di: Taddei, Sebastiano, et al.
Pubblicazione: (2025)

Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
di: Ögretmen, Levent, et al.
Pubblicazione: (2024)

Hierarchical Time-Optimal Planning for Multi-Vehicle Racing
di: Jank, Georg, et al.
Pubblicazione: (2023)

Uncertainty-Aware Perception-Based Control for Autonomous Racing
di: Trisovic, Jelena, et al.
Pubblicazione: (2025)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
di: Zarrouki, Baha, et al.
Pubblicazione: (2024)

Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
di: Xue, Haoru, et al.
Pubblicazione: (2023)

Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO
di: Elgouhary, Mohamed, et al.
Pubblicazione: (2026)

LLA-MPC: Fast Adaptive Control for Autonomous Racing
di: AL-Sunni, Maitham F., et al.
Pubblicazione: (2025)

Contextual Tuning of Model Predictive Control for Autonomous Racing
di: Fröhlich, Lukas P., et al.
Pubblicazione: (2021)

Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints
di: Piazza, Mattia, et al.
Pubblicazione: (2025)

Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
di: Wang, Yuanda, et al.
Pubblicazione: (2024)

Unsupervised Learning for Detection of Rare Driving Scenarios
di: Le, Dat, et al.
Pubblicazione: (2025)

A Modular Architecture Design for Autonomous Driving Racing in Controlled Environments
di: Fontan-Costas, Brais, et al.
Pubblicazione: (2025)

IteraOptiRacing: A Unified Planning-Control Framework for Real-time Autonomous Racing for Iterative Optimal Performance
di: Zeng, Yifan, et al.
Pubblicazione: (2025)

A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
di: Betz, Johannes, et al.
Pubblicazione: (2024)

Hierarchical Control for Head-to-Head Autonomous Racing
di: Thakkar, Rishabh Saumil, et al.
Pubblicazione: (2022)

F1tenth Autonomous Racing With Offline Reinforcement Learning Methods
di: Koirala, Prajwal, et al.
Pubblicazione: (2024)

Robustness Evaluation of Localization Techniques for Autonomous Racing
di: Lim, Tian Yi, et al.
Pubblicazione: (2024)

Learning-based Position and Stiffness Feedforward Control of Antagonistic Soft Pneumatic Actuators using Gaussian Processes
di: Habich, Tim-Lukas, et al.
Pubblicazione: (2023)

Online Slip Detection and Friction Coefficient Estimation for Autonomous Racing
di: Oeltjen, Christopher, et al.
Pubblicazione: (2025)

Regulation-Aware Game-Theoretic Motion Planning for Autonomous Racing
di: Prignoli, Francesco, et al.
Pubblicazione: (2025)

Minimalistic Autonomous Stack for High-Speed Time-Trial Racing
di: Ali, Mahmoud, et al.
Pubblicazione: (2025)

Dynamic Lookahead Distance via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing
di: Elgouhary, Mohamed, et al.
Pubblicazione: (2026)

Control Pneumatic Soft Bending Actuator with Feedforward Hysteresis Compensation by Pneumatic Physical Reservoir Computing
di: Shen, Junyi, et al.
Pubblicazione: (2024)

MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks
di: Kaufeld, Marc, et al.
Pubblicazione: (2025)

Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
di: Langmann, Alexander, et al.
Pubblicazione: (2025)

Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks
di: Wakita, Kouki, et al.
Pubblicazione: (2024)

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
di: Ma, Hao, et al.
Pubblicazione: (2025)

MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA
di: Ye, Junhao, et al.
Pubblicazione: (2025)

Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction
di: Baumann, Nicolas, et al.
Pubblicazione: (2024)

Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
di: Moller, Korbinian, et al.
Pubblicazione: (2025)

AARK: An Open Toolkit for Autonomous Racing Research
di: Bockman, James, et al.
Pubblicazione: (2024)

Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing
di: Fork, Thomas, et al.
Pubblicazione: (2023)

From Vision to Decision: Neuromorphic Control for Autonomous Navigation and Tracking
di: Wang, Chuwei, et al.
Pubblicazione: (2026)

Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method
di: Li, Zhouheng, et al.
Pubblicazione: (2025)

Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform
di: Charles, Israel, et al.
Pubblicazione: (2025)

Risk-Averse Model Predictive Control for Racing in Adverse Conditions
di: Lew, Thomas, et al.
Pubblicazione: (2024)