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Autonomous Racing

Papers

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Showing 26–50 of 86 papers

TitleStatusHype
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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