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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
Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race CarCode1
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical SolutionsCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing SystemsCode1
Learning Local Control Barrier Functions for Hybrid SystemsCode1
BayesRace: Learning to race autonomously using prior experienceCode1
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous RacingCode1
Learn-to-Race: A Multimodal Control Environment for Autonomous RacingCode1
Performance-driven Constrained Optimal Auto-Tuner for MPCCode1
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement LearningCode1
DeepRacing: Parameterized Trajectories for Autonomous RacingCode1
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
MEGA-DAgger: Imitation Learning with Multiple Imperfect ExpertsCode0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Residual Policy Learning for Vehicle Control of Autonomous Racing CarsCode0
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled PlatformsCode0
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum LearningCode0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
Enhanced Importance Sampling through Latent Space Exploration in Normalizing FlowsCode0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous RacingCode0
Learning-based model predictive control with moving horizon state estimation for autonomous racingCode0
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
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations—0
Task Decomposition for Iterative Learning Model Predictive Control—0
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds—0
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games—0
Large-Scale Multi-Agent Deep FBSDEs—0
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
Multi-Task Reinforcement Learning for Quadrotors—0
Online Constrained Model-based Reinforcement Learning—0
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing—0
Physics Constrained Motion Prediction with Uncertainty Quantification—0
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution—0
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour—0
RAPID: Autonomous Multi-Agent Racing using Constrained Potential Dynamic Games—0
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Redundant Perception and State Estimation for Reliable Autonomous Racing—0
Safe Autonomous Racing via Approximate Reachability on Ego-vision—0
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