Short answer

Future autonomous vehicle designs must be holistic, integrating advancements in control, computing, communication, mapping, and human factors, while embracing rigorous testing and validation processes.

Field: Innovation & Design
Source: IEEE Transactions on Systems Man and Cybernetics Systems (2023)
Method: Survey of Surveys (SoS) and Technical Review
Evidence: Strong effect

The rapid advancement of autonomous driving technology is characterized by significant milestones across control systems, computing architecture, communication protocols, HD mapping, testing methodologies, and understanding human behavior. This innovation & design research insight is drawn from a 2023 study published in IEEE Transactions on Systems Man and Cybernetics Systems. Using Survey of surveys (sos) and technical review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Future autonomous vehicle designs must be holistic, integrating advancements in control, computing, communication, mapping, and human factors, while embracing rigorous testing and validation processes.

Study

Innovation & DesignRecentStrong effect

Autonomous Driving Systems: A Milestone Review of Control, Computing, Communication, Mapping, Testing, and Human Factors

IEEE Transactions on Systems Man and Cybernetics Systems · 2023

Key Findings

01Significant progress has been made in developing robust control algorithms for vehicle autonomy.
02The evolution of computing systems has enabled more complex processing for ADAS and AD functions.
03Communication technologies are critical for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interactions.
04High-definition mapping is essential for precise localization and navigation.
05Rigorous testing and validation methodologies are continuously evolving.

Application

Design takeaway

How to apply

When designing autonomous systems, conduct a thorough review of the historical development and current state-of-the-art in control, computing, communication, mapping, testing, and human factors relevant to your specific project.

Project actions

01When starting a design project related to autonomous systems, research the historical context of the specific technologies you plan to use.
02Identify which of the reviewed areas (control, computing, communication, mapping, testing, human behavior) are most critical to your design concept and focus your research there.

Method & Evidence

AimTo systematically review and summarize the key technological milestones and research directions in the development of autonomous driving and intelligent vehicles, focusing on control, computing systems, communication, HD maps, testing, and human behaviors.

MethodSurvey of Surveys (SoS) and Technical Review

ProcedureThe research involved a comprehensive review of existing surveys and technical literature to identify and synthesize the major advancements and trends in the specified domains of autonomous driving technology.

ContextAutonomous Driving and Intelligent Vehicle Systems

Variables

IV["Technological domain (control, computing, communication, HD map, testing, human behavior)","Time/historical period"]

DV["Milestones achieved","Research directions"]

CV["Focus on autonomous driving and intelligent vehicles"]

Strengths & Limitations

Strengths

+Provides a broad overview of a complex field.
+Synthesizes information from multiple existing surveys.

Limitations

The rapid evolution of autonomous driving technology means that any survey-based review may not capture the very latest breakthroughs.

Reliability & validity

The reliability of this study stems from its synthesis of multiple existing surveys. Validity is high for summarizing past trends but may be limited for predicting immediate future developments due to the field's dynamism.

Think critically

Given the rapid pace of innovation, how can designers ensure their autonomous vehicle designs remain relevant and adaptable to future technological shifts?

Design Principles

"Holistic system design is paramount for complex autonomous technologies, requiring integration across multiple technical and human-centric domains."

Understanding the historical progression and key breakthroughs in these diverse areas is crucial for designers and engineers developing next-generation intelligent vehicles. It informs strategic decision-making, identifies potential innovation gaps, and provides a foundation for future research and development.

What This Means for Your Design

This research looks back at all the big steps and important discoveries made in self-driving car technology, covering how they steer, the computers they use, how they talk to each other, their detailed maps, how they are tested, and how people act around them.

How to use in your project

1.Reference this paper when discussing the background and context of your design project, particularly if it involves elements of autonomous systems, intelligent vehicles, or related technologies.

Add to My Project

Quick Cite

Paragraph starter

The development of autonomous driving systems is a complex, multi-faceted endeavor, with significant milestones achieved in control systems, computing architecture, communication protocols, high-definition mapping, testing methodologies, and the integration of human behavior. A comprehensive understanding of these historical advancements, as detailed in surveys like Chen et al. (2023), is essential for informing the design of innovative and effective intelligent vehicles.

Source

IEEE Transactions on Systems Man and Cybernetics Systems

Milestones in Autonomous Driving and Intelligent Vehicles—Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

journal · 2023

View source

Questions About This Research

What does the research say about autonomous driving systems: a milestone review of control, computing, communication, mapping, testing, and human factors?: Future autonomous vehicle designs must be holistic, integrating advancements in control, computing, communication, mapping, and human factors, while embracing rigorous testing and validation processes. Evidence: IEEE Transactions on Systems Man and Cybernetics Systems (2023).
Why does "Autonomous Driving Systems: A Milestone Review of Control, Computing, Communication, Mapping, Testing, and Human Factors" matter for design?: Understanding the historical progression and key breakthroughs in these diverse areas is crucial for designers and engineers developing next-generation intelligent vehicles. It informs strategic decision-making, identifies potential innovation gaps, and provides a foundation for future research and development.
How can designers apply this research?: Future autonomous vehicle designs must be holistic, integrating advancements in control, computing, communication, mapping, and human factors, while embracing rigorous testing and validation processes.
What were the main findings?: Significant progress has been made in developing robust control algorithms for vehicle autonomy.. The evolution of computing systems has enabled more complex processing for ADAS and AD functions.. Communication technologies are critical for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interactions.. High-definition mapping is essential for precise localization and navigation.
What research method was used?: Survey of Surveys (SoS) and Technical Review.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2023 journal from IEEE Transactions on Systems Man and Cybernetics Systems.
What should I do differently in my next project?: When designing autonomous systems, conduct a thorough review of the historical development and current state-of-the-art in control, computing, communication, mapping, testing, and human factors relevant to your specific project.
What are the limitations?: The survey focuses on specific technical domains and may not cover all emergent aspects of autonomous driving; the rapid pace of development means some information may quickly become dated.