Human–Machine Interaction (HMI) in Intelligent and Connected Vehicles (ICVs) has drawn great attention in recent years due to its potentially significant positive impacts on the automotive revolution and travel experience. In this paper, we conduct an in-depth review of HMI in ICVs. Firstly, research and application development status are pointed out through the discussion on the cutting-edge technology classification, achievements, and challenges of the HMI technologies in ICVs, including recognition technology, multi-dimensional human vehicle interface, and emerging in-vehicle intelligent units. Then, the human factors issues of ICVs are discussed from three aspects: ICV acceptance, interaction quality of ICVs, and user experience of ICVs. Besides, based on the interaction technology and the mapping of the above issues, we conducted a visual analysis of the literature to realize the reflective thinking of the current HMI in ICVs. Finally, the challenges of HMI technology in ICVs are summarized. Moreover, the promising future opportunities are proposed from three aspects: utility optimization, experience reconfiguration, and value acquisition, to gaining insight into advanced and pleasant HMI in ICVs. 

Human–Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities

Modern software is expected to grow, improve its operations, and adapt to new contexts. We often realize these requirements by introducing machine learning algorithms in the software architecture. In automotive software, we can observe the use of machine learning technology in recognizing objects on the road (active safety systems) and optimizations of control systems (engine and gearbox operation). In this chapter, we explore the use of deep learning for image classification and object recognition, and through this we explain the concepts of supervised learning. We also introduce the concepts of reinforced learning using an example algorithm for engine optimization.

Machine Learning in Automotive Software

How Neural Networks Change Automotive Software Development

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Martin Schleicher

Author Tools

Chat about Author

Papers

How Neural Networks Change Automotive Software Development