Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems.

Area of Science:

• Automotive Engineering
• Embedded Systems
• Data Communication

Background:

• Autonomous driving and Car2X technologies necessitate substantial data exchange between automotive devices.
• Radar sensors are critical for future vehicles, demanding efficient data traffic management.
• Increasing communication complexity requires optimization at the AUTOSAR (Automotive Open System Architecture) level.

Purpose of the Study:

• To propose and evaluate an optimization solution for AUTOSAR communication levels.
• To enhance the efficiency of data exchange involving radar sensors in automotive systems.

Main Methods:

• Developed a novel approach for remote access to radar sensors.
• Implemented and tested the proposed optimization solution within the AUTOSAR framework.
• Conducted performance measurements focusing on memory usage and runtime.

Main Results:

• The proposed remote access solution demonstrated superior performance over the Full AUTOSAR implementation.
• Significant reductions in memory usage were observed.
• Noticeable improvements in runtime efficiency were achieved.

Conclusions:

• The developed optimization strategy effectively addresses the communication challenges in advanced automotive systems.
• Remote radar sensor access offers a viable method for improving AUTOSAR communication efficiency.
• This approach is beneficial for applications like autonomous driving and Car2X.