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Autonomous Racing

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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
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement LearningCode1
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing SystemsCode1
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
Learning Local Control Barrier Functions for Hybrid SystemsCode1
BayesRace: Learning to race autonomously using prior experienceCode1
Learn-to-Race: A Multimodal Control Environment for Autonomous RacingCode1
DeepRacing: Parameterized Trajectories for Autonomous RacingCode1
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical SolutionsCode1
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous RacingCode1
Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race CarCode1
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle—0
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing—0
End-to-End Velocity Estimation For Autonomous Racing—0
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds—0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights—0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
Fast and Modular Autonomy Software for Autonomous Racing Vehicles—0
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation—0
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data—0
Game Theory in Formula 1: Multi-agent Physical and Strategical Interactions—0
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing—0
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning—0
Learning Model Predictive Control for Competitive Autonomous Racing—0
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles—0
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing—0
Low-pass sampling in Model Predictive Path Integral Control—0
Steering Prediction via a Multi-Sensor System for Autonomous Racing—0
AARK: An Open Toolkit for Autonomous Racing Research—0
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7—0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing—0
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes—0
A Scenario-Based Functional Testing Approach to Improving DNN Performance—0
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo—0
Autonomous Racing using Learning Model Predictive Control—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning—0
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning—0
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space—0
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow—0
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