Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision

Area of Science:

• Automotive Engineering
• Human-Computer Interaction
• Networked Systems

Background:

• Cooperative Advanced Driver Assistance Systems (C-ADAS) require a holistic view of driver, vehicle, and environment interactions.
• The evolution of ADAS necessitates integrated system design considering these bidirectional relationships.

Purpose of the Study:

• To present a comprehensive survey of C-ADAS.
• To describe a conceptual architecture for C-ADAS, encompassing driver, vehicle, and environment interactions.
• To explore remote C-ADAS operation using the Internet of Vehicles (IoV) paradigm.

Main Methods:

• Systematic literature review of C-ADAS.
• Development of a conceptual architecture model.
• Analysis of enabling technologies for IoV-based C-ADAS.
• Identification of state-of-the-art and research challenges.
• Review of performance evaluation mechanisms and metrics.

Main Results:

• A conceptual architecture for C-ADAS is presented, detailing interactions between driver, vehicle, and environment.
• The study outlines remote operation capabilities enabled by the Internet of Vehicles (IoV).
• Key enabling technologies, current research challenges, and performance evaluation methods for C-ADAS are identified.

Conclusions:

• C-ADAS design demands a systemic approach integrating driver, vehicle, and environmental factors.
• IoV paradigm offers a framework for remote C-ADAS operation.
• Further research is needed to address identified challenges and refine performance metrics for C-ADAS.