Cover Image

Empirical Performance Evaluation of Lane Keeping Assist on Modern Production Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuhang, Alhuraish, Abdulaziz, Wang, Shuyi, Zhou, Hao
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions
by: Wang, Yuhang, et al.
Published: (2025)

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
by: Wang, Yuhang, et al.
Published: (2025)

Cut-In Gap Acceptance Toward Autonomous vs. Human-Driven Vehicles: Evidence from the Waymo Open Motion Dataset
by: Alhuraish, Abdulaziz, et al.
Published: (2026)

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems
by: Wang, Yuhang, et al.
Published: (2025)

Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning
by: Alwalan, Abdulaziz, et al.
Published: (2024)

BLIP-FusePPO: A Vision-Language Deep Reinforcement Learning Framework for Lane Keeping in Autonomous Vehicles
by: Miangoleh, Seyed Ahmad Hosseini, et al.
Published: (2025)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
by: Hu, Jia, et al.
Published: (2024)

Tackling Snow-Induced Challenges: Safe Autonomous Lane-Keeping with Robust Reinforcement Learning
by: Aghdasian, Amin Jalal, et al.
Published: (2025)

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
by: Yao, Xue, et al.
Published: (2024)

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study
by: Wu, Jiahui, et al.
Published: (2025)

Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles
by: Huang, Ouhan, et al.
Published: (2025)

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
by: Zhou, Junjie, et al.
Published: (2024)

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
by: Abouras, Mohamed, et al.
Published: (2026)

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
by: Wang, Pengyu, et al.
Published: (2025)

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
by: Xu, Ruichen, et al.
Published: (2024)

Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
by: Batista, Luis F. W., et al.
Published: (2025)

CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
by: Gao, Xinwei, et al.
Published: (2025)

Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles
by: Khalfin, Michael, et al.
Published: (2024)

EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
by: Zhu, Wei, et al.
Published: (2025)

LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations
by: Mink, Michael, et al.
Published: (2024)

ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research
by: Lesy, Bavo, et al.
Published: (2025)

Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction
by: Yuan, Mingqi, et al.
Published: (2024)

DeepRacer on Physical Track: Parameters Exploration and Performance Evaluation
by: Koparan, Sinan, et al.
Published: (2024)

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions
by: Hao, Alexis Yihong, et al.
Published: (2025)

Learning to Prune Branches in Modern Tree-Fruit Orchards
by: Jain, Abhinav, et al.
Published: (2025)

Data-Driven Modeling and Correction of Vehicle Dynamics
by: Ly, Nguyen, et al.
Published: (2025)

VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
by: Cheng, Ming, et al.
Published: (2024)

Bootstrapped Model Predictive Control
by: Wang, Yuhang, et al.
Published: (2025)

Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms
by: Ge, Haizhou, et al.
Published: (2024)

Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics
by: Almuzairee, Abdulaziz, et al.
Published: (2026)

PCARNN-DCBF: Minimal-Intervention Geofence Enforcement for Ground Vehicles
by: Yu, Yinan, et al.
Published: (2025)

Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
by: Lee, Sang-Hyun, et al.
Published: (2024)

Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
by: Xu, Letian, et al.
Published: (2024)

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
by: Lu, Yuhang, et al.
Published: (2025)

Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
by: Zhang, Yuhang, et al.
Published: (2025)

Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
by: Ferrarotti, Laura, et al.
Published: (2023)

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet
by: Mehrfard, Arian, et al.
Published: (2024)

Fast Policy Learning for 6-DOF Position Control of Underwater Vehicles
by: Tunçay, Sümer, et al.
Published: (2025)

Khalasi: Energy-Efficient Navigation for Surface Vehicles in Vortical Flow Fields
by: Gadhvi, Rushiraj, et al.
Published: (2025)

Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis
by: Maresca, Fabio, et al.
Published: (2024)