Copertina

Vehicle-in-Virtual-Environment Method for ADAS and Connected and Automated Driving Function Development/Demonstration/Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cao, Xincheng, Chen, Haochong, Aksun-Guvenc, Bilin, Guvenc, Levent
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety
di: Chen, Haochong, et al.
Pubblicazione: (2025)

Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety
di: Chen, Haochong, et al.
Pubblicazione: (2025)

High Order Control Lyapunov Function - Control Barrier Function - Quadratic Programming Based Autonomous Driving Controller for Bicyclist Safety
di: Chen, Haochong, et al.
Pubblicazione: (2025)

Modified Hybrid A* Collision-Free Path-Planning for Automated Reverse Parking
di: Cao, Xincheng, et al.
Pubblicazione: (2025)

Delay Tolerant Control for Autonomous Driving Using CDOB
di: Cao, Xincheng, et al.
Pubblicazione: (2025)

Development of an Advisory System for Parking of a Car and Trailer
di: Cao, Xincheng, et al.
Pubblicazione: (2025)

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System
di: Cao, Xincheng, et al.
Pubblicazione: (2026)

Nonlinear Model Predictive Control-Based Reverse Path-Planning and Path-Tracking Control of a Vehicle with Trailer System
di: Cao, Xincheng, et al.
Pubblicazione: (2025)

Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver
di: Cao, Xincheng, et al.
Pubblicazione: (2024)

karl. - A Research Vehicle for Automated and Connected Driving
di: Busch, Jean-Pierre, et al.
Pubblicazione: (2026)

Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
di: Xu, Jianye, et al.
Pubblicazione: (2026)

A Long-Duration Autonomy Approach to Connected and Automated Vehicles
di: Beaver, Logan E.
Pubblicazione: (2024)

One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
di: Nenchev, Vladislav
Pubblicazione: (2025)

Overview Analysis of Recent Developments on Self-Driving Electric Vehicles
di: Ajao, Qasim, et al.
Pubblicazione: (2023)

The Role of Integrity Monitoring in Connected and Automated Vehicles: Current State-of-Practice and Future Directions
di: Nayak, Saswat Priyadarshi, et al.
Pubblicazione: (2025)

An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors
di: Zhang, Luyao, et al.
Pubblicazione: (2024)

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

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function
di: Awasthi, Satyesh Shanker, et al.
Pubblicazione: (2025)

A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers
di: Zhang, Zengjie, et al.
Pubblicazione: (2025)

The Safety Shell: an Architecture to Handle Functional Insufficiencies in Automated Driving
di: Hanselaar, C. A. J., et al.
Pubblicazione: (2023)

Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles
di: Schumann, Oliver, et al.
Pubblicazione: (2023)

Diagnosing and Predicting Autonomous Vehicle Operational Safety Using Multiple Simulation Modalities and a Virtual Environment
di: Beck, Joe, et al.
Pubblicazione: (2024)

A Survey on Hybrid Motion Planning Methods for Automated Driving Systems
di: Sormoli, MReza Alipour, et al.
Pubblicazione: (2024)

An Advanced Microscopic Energy Consumption Model for Automated Vehicle:Development, Calibration, Verification
di: Ma, Ke, et al.
Pubblicazione: (2024)

Automatic Parameter Tuning of Self-Driving Vehicles
di: Wu, Hung-Ju, et al.
Pubblicazione: (2024)

Safe Driving in Occluded Environments
di: Wang, Zhuoyuan, et al.
Pubblicazione: (2025)

Incremental Validation of Automated Driving Functions using Generic Volumes in Micro- Operational Design Domains
di: Schäfer, Steffen, et al.
Pubblicazione: (2025)

Energy-Aware Lane Planning for Connected Electric Vehicles in Urban Traffic: Design and Vehicle-in-the-Loop Validation
di: Kim, Hansung, et al.
Pubblicazione: (2025)

Conceptualizing and Modeling Communication-Based Cyberattacks on Automated Vehicles
di: Li, Tianyi, et al.
Pubblicazione: (2025)

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

Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function
di: Patel, Milin, et al.
Pubblicazione: (2025)

On Feedback Speed Control for a Planar Tracking
di: Li, Xincheng, et al.
Pubblicazione: (2026)

A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors
di: Wu, Keshu, et al.
Pubblicazione: (2024)

Model Predictive Control of Non-Holonomic Vehicles: Beyond Differential-Drive
di: Rosenfelder, Mario, et al.
Pubblicazione: (2022)

Towards Design and Development of a Low-Cost Unmanned Surface Vehicle for Aquaculture Water Quality Monitoring in Shallow Water Environments
di: Temilolorun, Aiyelari, et al.
Pubblicazione: (2024)

Trajectory Planning for Automated Driving using Target Funnels
di: Bogenberger, Benjamin, et al.
Pubblicazione: (2025)

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies
di: Dutta, Niladri, et al.
Pubblicazione: (2025)

Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
di: Rahmani, Saeed, et al.
Pubblicazione: (2024)

Multi-Source Human-in-the-Loop Digital Twin Testbed for Connected and Autonomous Vehicles in Mixed Traffic Flow
di: Dong, Jianghong, et al.
Pubblicazione: (2026)

A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
di: Betz, Johannes, et al.
Pubblicazione: (2024)