search "software defined vehicle" on arXiv.

74 papers.

Making a directories, software defined vehicle, software defined radio/network, open source, related papers and rejected.

Software defined vehicle

SD-VEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
https://arxiv.org/pdf/2103.14225.pdf

software defined radio/network

Strategies for Integrating Controls Flows in Software-Defined In-Vehicle Networks and Their Impact on Network Security
https://arxiv.org/pdf/2010.03839

A Preliminary Study of Machine-Learning-Based Ranging with LTE Channel Impulse Response in Multipath Environment
https://arxiv.org/pdf/2009.11910

Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
https://arxiv.org/pdf/2008.01144

Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems
https://arxiv.org/pdf/2102.10142.pdf

Spoofing Attacks Against Vehicular FMCW Radar
https://arxiv.org/pdf/2104.13318.pdf

Application Layer Modeling in Vehicle Networks: Cooperative Maneuver Use Case
https://arxiv.org/pdf/2101.10816

Security of Connected and Automated Vehicles
https://arxiv.org/pdf/2012.13464

Predictive Wireless Based Status Update for Communication-Agnostic Sampling
https://arxiv.org/pdf/2101.08976

Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
https://arxiv.org/pdf/2008.01144

On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control
https://arxiv.org/pdf/2008.00414

Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure
https://arxiv.org/pdf/2007.11870

Enable an Open Software Defined Mobility Ecosystem through VEC-OF
https://arxiv.org/pdf/2007.03879

Design and Implementation of Time-Sensitive Wireless IoT Networks on Software-Defined Radio
https://arxiv.org/pdf/2006.09970

zSwarmControl: An Automated Distributed Control Framework for Self-Optimizing Drone Networks
https://arxiv.org/pdf/2005.09781

Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
https://arxiv.org/pdf/2004.01953

Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach
https://arxiv.org/pdf/2003.01005

Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge Networks in Highway Transportation
https://arxiv.org/pdf/2002.10577

open source

MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES
https://arxiv.org/pdf/2008.04986

Related papers

SD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse
https://arxiv.org/pdf/2006.02040

Thinging-Oriented Modeling of Unmanned Aerial Vehicles
https://arxiv.org/pdf/2006.00369

UAV Aided Search and Rescue Operation Using Reinforcement Learning
https://arxiv.org/pdf/2002.08415

Active Face Frontalization using Commodity Unmanned Aerial Vehicles
https://arxiv.org/pdf/2102.08542.pdf

The Factory Must Grow: Automation in Factorio
https://arxiv.org/pdf/2102.04871.pdf

A Language for Autonomous Vehicles Testing Oracles
https://arxiv.org/pdf/2006.10177

Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach
https://arxiv.org/pdf/2012.15545

Stress Testing Method for Scenario Based Testing of Automated Driving Systems
https://arxiv.org/pdf/2011.06553

RFEye in the Sky
https://arxiv.org/pdf/2011.03846

On failures of RGB cameras and their effects in autonomous driving applications
https://arxiv.org/pdf/2008.05938

Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems
https://arxiv.org/pdf/2007.12129

Rejected( sometimes no pdf)

Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment

a Paper to be submitted

Ethernet based AUTOSAR system
https://qiita.com/kaizen_nagoya/items/8ffc5bfe2b2f98d1a9a9

document history

ver. 0.01 10 papers. 20210710
ver. 0.02 20 papers. 20210711
ver. 0.03 30 papers. 20210712