:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Yuankai, Chen, Hanlin, Shi, Weisong
Format:	Preprint
Published:	2024
Subjects:	Robotics G.3
Online Access:	https://arxiv.org/abs/2405.01328
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Faster and More Reliable Middleware for Autonomous Driving Systems
by: He, Yuankai, et al.
Published: (2025)

DAVOS: An Autonomous Vehicle Operating System in the Vehicle Computing Era
by: Wang, Yuxin, et al.
Published: (2026)

AVS: A Computational and Hierarchical Storage System for Autonomous Vehicles
by: Wang, Yuxin, et al.
Published: (2025)

CARScenes: Semantic VLM Dataset for Safe Autonomous Driving
by: He, Yuankai, et al.
Published: (2025)

Optimization of Rulebooks via Asymptotically Representing Lexicographic Hierarchies for Autonomous Vehicles
by: Penlington, Matteo, et al.
Published: (2024)

ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing
by: Tian, Zhaofeng, et al.
Published: (2024)

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
by: Samak, Tanmay Vilas, et al.
Published: (2025)

Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework
by: Samak, Tanmay Vilas, et al.
Published: (2024)

Context-aware Risk Assessment and Its Application in Autonomous Driving
by: Tian, Boyang, et al.
Published: (2025)

Slope Considered Online Nonlinear Trajectory Planning with Differential Energy Model for Autonomous Driving
by: Tian, Zhaofeng, et al.
Published: (2024)

EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving
by: Tian, Zhaofeng, et al.
Published: (2024)

Power-Efficient Autonomous Mobile Robots
by: Liu, Liangkai, et al.
Published: (2025)

Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception
by: Liu, Liangkai, et al.
Published: (2026)

Autonomous Shuttle Operation for Vulnerable Populations: Lessons and Experiences
by: Zhong, Ren, et al.
Published: (2024)

MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA
by: Ye, Junhao, et al.
Published: (2025)

Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands
by: Peng, Chen, et al.
Published: (2023)

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
by: Song, Baoshan, et al.
Published: (2025)

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

Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments
by: Wei, Peng, et al.
Published: (2025)

From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving
by: Wu, Chengdong, et al.
Published: (2026)

Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
by: Mari, Zamirddine, et al.
Published: (2025)

A Twin Delayed Deep Deterministic Policy Gradient Algorithm for Autonomous Ground Vehicle Navigation via Digital Twin Perception Awareness
by: Olayemi, Kabirat, et al.
Published: (2024)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
by: Parada, Leandro, et al.
Published: (2024)

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

OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving
by: Richardson, Alex, et al.
Published: (2025)

AAM-VDT: Vehicle Digital Twin for Tele-Operations in Advanced Air Mobility
by: Nguyen, Tuan Anh, et al.
Published: (2024)

GaussTwin: Unified Simulation and Correction with Gaussian Splatting for Robotic Digital Twins
by: Cai, Yichen, et al.
Published: (2026)

Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model
by: Lu, Qiujing, et al.
Published: (2024)

Developing a Calibrated Physics-Based Digital Twin for Construction Vehicles
by: Karanfil, Deniz, et al.
Published: (2025)

ADDT -- A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems
by: Yu, Bo, et al.
Published: (2025)

Simulating Realistic LiDAR Data Under Adverse Weather for Autonomous Vehicles: A Physics-Informed Learning Approach
by: Anand, Vivek, et al.
Published: (2026)

Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Safety Analysis
by: Zhang, Hao, et al.
Published: (2025)

Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles
by: Kaufeld, Marc, et al.
Published: (2024)

RealEngine: Simulating Autonomous Driving in Realistic Context
by: Jiang, Junzhe, et al.
Published: (2025)

Analyzing Gait Adaptation with Hemiplegia Simulation Suits and Digital Twins
by: Chen, Jialin, et al.
Published: (2025)

A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
by: Zhang, Tony, et al.
Published: (2025)

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
by: Da, Longchao, et al.
Published: (2024)

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
by: Zhou, Junjie, 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)

Tightly Joined Positioning and Control Model for Unmanned Aerial Vehicles Based on Factor Graph Optimization
by: Yang, Peiwen, et al.
Published: (2024)