Papers with Code 아카이브
Autonomous Racing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
Low-pass sampling in Model Predictive Path Integral Control
Performance-driven Constrained Optimal Auto-Tuner for MPC
A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
Game Theory in Formula 1: Multi-agent Physical and Strategical Interactions
Generalizable Image Repair for Robust Visual Autonomous Racing
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights
A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing
Multi-Task Reinforcement Learning for Quadrotors
Self-Driving Car Racing: Application of Deep Reinforcement Learning
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
AARK: An Open Toolkit for Autonomous Racing Research
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
Steering Prediction via a Multi-Sensor System for Autonomous Racing
Learning-based model predictive control with moving horizon state estimation for autonomous racing
Fast and Modular Autonomy Software for Autonomous Racing Vehicles
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
Conformal Off-Policy Prediction for Multi-Agent Systems
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
Learning Local Control Barrier Functions for Hybrid Systems
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race Car
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.