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Autonomous Racing

Papers

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Showing 1–50 of 86 papers

TitleStatusHype
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
Performance-driven Constrained Optimal Auto-Tuner for MPCCode1
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous RacingCode1
Learning Local Control Barrier Functions for Hybrid SystemsCode1
Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race CarCode1
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing SystemsCode1
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement LearningCode1
Learn-to-Race: A Multimodal Control Environment for Autonomous RacingCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical SolutionsCode1
BayesRace: Learning to race autonomously using prior experienceCode1
DeepRacing: Parameterized Trajectories for Autonomous RacingCode1
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow—0
Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles—0
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7—0
Low-pass sampling in Model Predictive Path Integral Control—0
A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous RacingCode0
Game Theory in Formula 1: Multi-agent Physical and Strategical Interactions—0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour—0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights—0
A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing—0
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing—0
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled PlatformsCode0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
Enhanced Importance Sampling through Latent Space Exploration in Normalizing FlowsCode0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
Multi-Task Reinforcement Learning for Quadrotors—0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning—0
AARK: An Open Toolkit for Autonomous Racing Research—0
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation—0
Steering Prediction via a Multi-Sensor System for Autonomous Racing—0
Learning-based model predictive control with moving horizon state estimation for autonomous racingCode0
Fast and Modular Autonomy Software for Autonomous Racing Vehicles—0
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle—0
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum LearningCode0
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds—0
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning—0
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing—0
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