Cover Image

SPLIT: Sparse Incremental Learning of Error Dynamics for Control-Oriented Modeling in Autonomous Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yaoyu, Huang, Chaosheng, Li, Jun
Format:	Preprint
Published:	2026
Subjects:	Robotics Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model
by: Li, Yaoyu, et al.
Published: (2024)

Nonplanar Model Predictive Control for Autonomous Vehicles with Recursive Sparse Gaussian Process Dynamics
by: Amine, Ahmad, et al.
Published: (2026)

Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
by: Xue, Haoru, et al.
Published: (2023)

Deep Incremental Model Informed Reinforcement Learning for Continuous Robotic Control
by: Li, Cong
Published: (2024)

High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles
by: Zhao, Shiyue, et al.
Published: (2024)

Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
by: Floch, Kristóf, et al.
Published: (2025)

Path Tracking with Dynamic Control Point Blending for Autonomous Vehicles: An Experimental Study
by: Lombard, Alexandre, et al.
Published: (2026)

Safety-Oriented Dynamic Path Planning for Automated Vehicles
by: Emam, Mostafa, et al.
Published: (2025)

A Universal Cooperative Decision-Making Framework for Connected Autonomous Vehicles with Generic Road Topologies
by: Huang, Zhenmin, et al.
Published: (2024)

An Adaptive Coverage Control Approach for Multiple Autonomous Off-road Vehicles in Dynamic Agricultural Fields
by: Ahmadi, Sajad, et al.
Published: (2025)

Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles
by: Pitschi, Phillip, et al.
Published: (2025)

Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication
by: Liu, Haichao, et al.
Published: (2024)

Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles
by: Huang, Zhenmin, et al.
Published: (2023)

Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
by: Zhou, Yihan, et al.
Published: (2025)

Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference
by: Huang, Yufei, et al.
Published: (2024)

Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
by: Askari, Iman, et al.
Published: (2023)

Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles
by: Agyei, Klinsmann, et al.
Published: (2024)

Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection
by: Battocletti, Gianpietro, et al.
Published: (2025)

CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles
by: Wang, Shanting, et al.
Published: (2025)

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers
by: Yang, Rui, et al.
Published: (2025)

Trajectory Tracking Control Design for Autonomous Helicopters with Guaranteed Error Bounds
by: Schitz, Philipp, et al.
Published: (2026)

Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning
by: Zhang, Peng, et al.
Published: (2024)

A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
by: Song, Jiarui, et al.
Published: (2024)

Real-Time LPV-Based Non-Linear Model Predictive Control for Robust Trajectory Tracking in Autonomous Vehicles
by: Kumar, Nitish, et al.
Published: (2025)

Adaptive Cruise Control in Autonomous Vehicles: Challenges, Gaps, Comprehensive Review, and, Future Directions
by: Bavalatti, Shradha, et al.
Published: (2025)

Towards A General-Purpose Motion Planning for Autonomous Vehicles Using Fluid Dynamics
by: Sormoli, MReza Alipour, et al.
Published: (2024)

Learned Incremental Nonlinear Dynamic Inversion for Quadrotors with and without Slung Payloads
by: Cobo-Briesewitz, Eckart, et al.
Published: (2025)

Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
by: Wang, Jie, et al.
Published: (2024)

Nigel -- Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle
by: Samak, Chinmay Vilas, et al.
Published: (2024)

Physics-Informed Neural Network Modeling of Vehicle Collision Dynamics in Precision Immobilization Technique Maneuvers
by: Jiang, Yangye, et al.
Published: (2025)

A Learning-Based Model Predictive Contouring Control for Vehicle Evasive Manoeuvres
by: Bertipaglia, Alberto, et al.
Published: (2024)

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
by: Fu, Yonghao, et al.
Published: (2025)

Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration
by: Wu, Chengdong, et al.
Published: (2025)

Safety-Conscious Pushing on Diverse Oriented Surfaces with Underactuated Aerial Vehicles
by: Hui, Tong, et al.
Published: (2024)

A New Self-Alignment Method without Solving Wahba Problem for SINS in Autonomous Vehicles
by: Zhang, Hongliang, et al.
Published: (2024)

Underactuated Biomimetic Autonomous Underwater Vehicle for Ecosystem Monitoring
by: Singh, Kaustubh, et al.
Published: (2025)

Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles
by: Conejo, Carlos, et al.
Published: (2024)

Control of Fully Actuated Aerial Vehicles: A Comparison of Model-based and Sensor-based Dynamic Inversion
by: Yilmaz, Ali Sidar, et al.
Published: (2026)

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization
by: Zheng, Lei, et al.
Published: (2024)

IteraOptiRacing: A Unified Planning-Control Framework for Real-time Autonomous Racing for Iterative Optimal Performance
by: Zeng, Yifan, et al.
Published: (2025)