:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Subosits, John, Lee, Jenna, Manuel, Shawn, Tylkin, Paul, Balachandran, Avinash
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2412.03803
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Autonomous Vehicles: A Driver Foundation Model Framework
by: Zhang, Yuxin, et al.
Published: (2026)

Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
by: Djeumou, Franck, et al.
Published: (2024)

A Driver-Vehicle Model for ADS Scenario-based Testing
by: Queiroz, Rodrigo, et al.
Published: (2022)

Vision-Conditioned Variational Bayesian Last Layer Dynamics Models
by: Brunzema, Paul, et al.
Published: (2026)

Spatial Envelope MPC: High Performance Driving without a Reference
by: Yu, Siyuan, et al.
Published: (2025)

SEIDM: A Safe and Efficient Intelligent Driver Model for Autonomous Driving Behavior
by: Yao, Yuyang, et al.
Published: (2026)

Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance
by: Biswas, Abhijat, et al.
Published: (2024)

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle
by: Dallas, James, et al.
Published: (2026)

An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction
by: Schwager, Robin, et al.
Published: (2024)

X-Driver: Explainable Autonomous Driving with Vision-Language Models
by: Liu, Wei, et al.
Published: (2025)

Simulation-based Testing of Foreseeable Misuse by the Driver applicable for Highly Automated Driving
by: Patel, Milin, et al.
Published: (2025)

Typification of Driver Models Using Clustering Methods
by: Igneczi, Gergo, et al.
Published: (2023)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)

Evaluation of Remote Driver Performance in Urban Environment Operational Design Domains
by: Hans, Ole, et al.
Published: (2025)

Improving Driver Satisfaction with a Driving Function Learning from Implicit Human Feedback -- a Test Group Study
by: Schwager, Robin, et al.
Published: (2026)

Safety-Oriented Calibration and Evaluation of the Intelligent Driver Model
by: Adjenughwure, Kingsley, et al.
Published: (2023)

Continual Learning for Autonomous Robots: A Prototype-based Approach
by: Hajizada, Elvin, et al.
Published: (2024)

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
by: Yuan, Jianhao, et al.
Published: (2024)

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
by: Chi, Haozhuang, et al.
Published: (2026)

BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning
by: Zhao, Jianbo, et al.
Published: (2024)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
by: Xiong, Chen, et al.
Published: (2026)

Indirect Shared Control of Highly Automated Vehicles for Cooperative Driving between Driver and Automation
by: Li, Renjie, et al.
Published: (2017)

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
by: Hu, Senkang, et al.
Published: (2024)

How to Evaluate Human-likeness of Interaction-aware Driver Models
by: Woo, Jemin, et al.
Published: (2024)

Risk-Averse Model Predictive Control for Racing in Adverse Conditions
by: Lew, Thomas, et al.
Published: (2024)

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
by: Han, Wencheng, et al.
Published: (2024)

Computational Teaching for Driving via Multi-Task Imitation Learning
by: Gopinath, Deepak, et al.
Published: (2024)

Classification of Driver Behaviour Using External Observation Techniques for Autonomous Vehicles
by: Nell, Ian, et al.
Published: (2025)

D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation
by: Ke, Zehong, et al.
Published: (2024)

Improving the Intelligent Driver Model by Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation
by: Salles, Dominik, et al.
Published: (2024)

Learning from Demonstration with Hierarchical Policy Abstractions Toward High-Performance and Courteous Autonomous Racing
by: Chung, Chanyoung, et al.
Published: (2024)

Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
by: Wei, Ran, et al.
Published: (2023)

DriveVA: Video Action Models are Zero-Shot Drivers
by: Liu, Mengmeng, et al.
Published: (2026)

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
by: Xu, Dongyang, et al.
Published: (2024)

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
by: Davydov, Alexander, et al.
Published: (2024)

General-purpose LLMs as Models of Human Driver Behavior: The Case of Simplified Merging
by: Mohammad, Samir H. A., et al.
Published: (2026)

Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
by: Sabry, Mohamed, et al.
Published: (2024)

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
by: Humeniuk, Dmytro, et al.
Published: (2023)

Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning
by: Bui, Hien, et al.
Published: (2023)

VTD: Visual and Tactile Database for Driver State and Behavior Perception
by: Wang, Jie, et al.
Published: (2024)