Review of Vehicle Motion Planning and Control Techniques to Reproduce Human-like Curve-Driving Behavior

Among the many technological challenges of automated driving development, there is an increasing focus on the behavior of these systems. Behavior is usually associated with multiple layers of control. In this paper, we focus on motion planning and control, and how these layers can be tailored to produce different behavior. Our review aims to collect and judge the most used techniques in the field of path planning and control. It has been revealed that model predictive planning and control provides high flexibility, with the cost of high computational capacity. There are simpler algorithms, such as pure-pursuit and Stanley controllers, however, these have very few parameters, therefore, the number of possible behavior patterns is limited.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.3390/engproc2024079020
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Review of Vehicle Motion Planning and Control Techniques to Reproduce Human-like Curve-Driving Behavior

Gergő Ignéczi, Ernő Horváth
Vehicle Dynamics and Control Systems
article

Review of Vehicle Motion Planning and Control Techniques to Reproduce Human-like Curve-Driving Behavior

Gergő Ignéczi, Ernő Horváth
article en

Abstract

Among the many technological challenges of automated driving development, there is an increasing focus on the behavior of these systems. Behavior is usually associated with multiple layers of control. In this paper, we focus on motion planning and control, and how these layers can be tailored to produce different behavior. Our review aims to collect and judge the most used techniques in the field of path planning and control. It has been revealed that model predictive planning and control provides high flexibility, with the cost of high computational capacity. There are simpler algorithms, such as pure-pursuit and Stanley controllers, however, these have very few parameters, therefore, the number of possible behavior patterns is limited.

Széchenyi István University (HU)
Openalex Percentile: Top 79%
Vehicle Dynamics and Control Systems
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