scispace - formally typeset
Open AccessJournal ArticleDOI

Autonomous-driving vehicle test technology based on virtual reality

Reads0
Chats0
TLDR
A virtual reality (VR)-based test platform for autonomous-driving vehicles was built combined with the AirSim system and the UE4 engine by establishing a model library which contains the vehicle dynamics model, sensor models and traffic environment model.
Abstract
In order to mitigate risks from road tests for autonomous-driving vehicles, reduce costs and accelerate development, a virtual reality (VR)-based test platform for autonomous-driving vehicles was built combined with the AirSim system and the UE4 engine by establishing a model library which contains the vehicle dynamics model, sensor models and traffic environment model. The controller-in-the-loop simulation method was implemented to complete the simulation test for autonomous vehicles under different driving conditions and the simulation results were used to optimise the autonomous-driving control system. The actual autonomous driving road test can now be done in an immersive VR simulation environment where autonomous-driving road-testing is done safely and cost-effectively. This plays a significant role in the future development of autonomous-driving vehicles.

read more

Citations
More filters
Journal ArticleDOI

Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles

TL;DR: A real-time energy management strategy (EMS) based on driver-action-impact MPC is proposed for series hybrid electric vehicles and a 5.6% average reduction of fuel consumption is obtained.
Journal ArticleDOI

Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks

TL;DR: Simulation results show that the proposed resource allocation algorithm could achieve a better QoE in the field of user satisfaction and throughput compared with other traditional algorithms, especially when the number of vehicles is greater than 30 or 22, respectively.
Journal ArticleDOI

Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems

TL;DR: In this paper , the authors present PDSM-FC, the first privacy-preserving data share mechanism with flexible cross-domain authorization over distinctive platoons, which allows a ciphertext to be easily converted into another type of ciphertext, facilitating efficient access by all entities holding the legitimate authorization.
Journal ArticleDOI

Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems

TL;DR: In this article , the authors present PDSM-FC, the first privacy-preserving data share mechanism with flexible cross-domain authorization over distinctive platoons, which allows a ciphertext to be easily converted into another type of ciphertext, facilitating efficient access by all entities holding the legitimate authorization.
References
More filters
Journal ArticleDOI

Deep learning

TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
Book

Deep Learning

TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Journal ArticleDOI

Cloud computing

Brian Hayes
TL;DR: As software migrates from local PCs to distant Internet servers, users and developers alike go along for the ride.
Posted Content

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

TL;DR: A new simulator built on Unreal Engine that offers physically and visually realistic simulations for autonomous vehicles in real world and that is designed from the ground up to be extensible to accommodate new types of vehicles, hardware platforms and software protocols.
Book ChapterDOI

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

TL;DR: In this paper, the authors present a new simulator built on Unreal Engine that offers physically and visually realistic simulations for autonomous vehicles in real-world environments, including a physics engine that can operate at a high frequency for real-time hardware-in-the-loop (HITL) simulations with support for popular protocols (e.g., MavLink).
Related Papers (5)