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Advanced Estimation Techniques for Vehicle System Dynamic State: A Survey.

Xianjian Jin1,2, Guodong Yin3,4, Nan Chen4

  • 1School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China. jinxianjian@yeah.net.

Sensors (Basel, Switzerland)
|October 19, 2019
PubMed
Summary
This summary is machine-generated.

Accurate vehicle state information is crucial for advanced safety systems. This survey explores model-based and data-driven methods for estimating vehicle dynamics, essential for improving handling stability and active safety.

Keywords:
data-driven-based approachmodel-based approachvehicle dynamicsvehicle state estimation

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Robotics

Background:

  • Advanced vehicle dynamics control systems enhance handling stability and active safety.
  • Real-time vehicle state information is critical but difficult to obtain directly.
  • Connected and automated driving vehicles rely heavily on accurate state estimation.

Purpose of the Study:

  • To provide a comprehensive technical survey of vehicle system dynamic state estimation.
  • To classify and analyze recent research advances in estimation strategies and methodologies.
  • To highlight the pros and cons of various estimation approaches.

Main Methods:

  • Classification of estimation strategies into model-based and data-driven approaches.
  • Further division into sub-categories based on vehicle models, estimation techniques, and sensor configurations.
  • Summarization of principal features of popular methodologies.

Main Results:

  • Detailed overview of model-based and data-driven estimation techniques for vehicle dynamics.
  • Analysis of sensor configurations and their impact on estimation accuracy.
  • Identification of strengths and weaknesses for each methodology.

Conclusions:

  • The practical performance of active safety systems depends on accurate state estimation.
  • Both model-based and data-driven approaches offer distinct advantages and disadvantages.
  • Future research should focus on advancing these estimation techniques for enhanced vehicle safety.