Application of Model Predictive Path Integral Controller in Autonomous Driving: A Simulation Study
- DOI
- 10.2991/978-94-6463-540-9_46How to use a DOI?
- Keywords
- Application; Model Predictive Path Integral; Autonomous driving; Simulation
- Abstract
In the realm of autonomous driving technology, significant strides have been made, yet challenges persist. This paper aims to explore the effectiveness of applying a Model Predictive Path Integral (MPPI) controller in autonomous driving technology. The advancement of autonomous driving technology has become one of the hotspots in the automotive industry, with one of its core challenges being the design of control systems capable of safely navigating various complex environments. In this experiment, we selected a scenario with circular obstacles to simulate the obstacle situations that may be encountered on urban roads. The vehicle model takes into account the dynamic characteristics and constraints of the vehicle itself to more realistically simulate actual driving conditions. By demonstrating the navigation and obstacle avoidance capabilities of the MPPI controller in dynamic environments, we hope to prove the potential value of this controller in future autonomous driving scenarios and provide valuable references and insights for the further development of autonomous driving technology.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Honglin Guo PY - 2024 DA - 2024/10/16 TI - Application of Model Predictive Path Integral Controller in Autonomous Driving: A Simulation Study BT - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024) PB - Atlantis Press SP - 463 EP - 471 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-540-9_46 DO - 10.2991/978-94-6463-540-9_46 ID - Guo2024 ER -