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Path Planning for Autonomous Cars

Published:02 May 2022Publication History

ABSTRACT

Abstract— Path planning plays a vital role in autonomous driving. It is the replication of the reasoning and decision-making of a human brain. This paper is about analyzing and optimizing a GitHub project which is related to path planning for autonomous cars. This work has fixed the program to drive a car on the simulated highway while avoiding collision, following traffic, safely changing lanes, and minimizing jerk. Additionally, more critical scenarios have been identified to make driving experiences safer and the present cost functions are optimized to make the car react effectively. Throughout the multiple experiments, a more efficient program has been produced that has reduced the time to finish one lap by roughly 10 seconds. Path planning is one of the extremely fundamental processes within autonomous driving. There are still challenges to make path planning safer and robust, such as behavior modelling on other cars, and more efficient path searching algorithm, etc.

References

  1. Dwivedi, P. (2017, August 9). Planning the path for a Self-Driving Car on a Highway. Towards Data Science. https://towardsdatascience.com/planning-the-path-for-a-self-driving-car-on-a-highway-7134fddd8707.Google ScholarGoogle Scholar
  2. Hussein, M. (2021, February 14). Path Planning. Github Memory. https://githubmemory.com/repo/mhusseinsh/CarND-Path-Planning-Project.Google ScholarGoogle Scholar
  3. Werling, M., Ziegler, J., Kammel, S., & Thrun, S. (2010, June).Google ScholarGoogle Scholar
  4. Karunakaran, D. (2018, June 3). Path planning project-Udacity's self-driving car nanodegree. Intro to Artificial Intelligence. https://medium.com/intro-to-artificial-intelligence/path-planning-project-udacitys-self-driving-car-nanodegree-be1f531cc4f7.Google ScholarGoogle Scholar
  5. Hui, J. (2018, April 11). Self-driving car: Path planning to maneuver the traffic. Medium.https://jonathan-hui.medium.com/self-driving-car-path-planning-to-maneuver-the-traffic-ac63f5a620e2.Google ScholarGoogle Scholar
  6. Yin, W. (2020, March 7). Path Planning – Highway Driving project. CSDN. https://blog.csdn.net/williamhyin/article/details/105133783.Google ScholarGoogle Scholar
  7. Karthik, M. (2017, Jul 30). Path Planning in Highways for an Autonomous Vehicle. Medium. https://medium.com/@mohankarthik/path-planning-in-highways-for-an-autonomous-vehicle-242b91e6387d.Google ScholarGoogle Scholar
  8. Brörkens, M. (2018, November 9). CarND-Path-Planning-Project. Brorkens.De. https://broerkens.de/CarND-Path-Planning-Project/.Google ScholarGoogle Scholar
  9. Cohen, J. (2018, July 17). Path Planning for self-driving cars. Medium. https://thinkautonomous.medium.com/can-self-driving-car-think-6c9e8d939d60.Google ScholarGoogle Scholar
  10. Forson, E. (2018, July 8). Teaching Cars to Drive – Highway Path Planning. Towards Data Science. https://towardsdatascience.com/teaching-cars-to-drive-highway-path-planning-109c49f9f86c.Google ScholarGoogle Scholar

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          ICMVA '22: Proceedings of the 2022 5th International Conference on Machine Vision and Applications
          February 2022
          128 pages
          ISBN:9781450395670
          DOI:10.1145/3523111

          Copyright © 2022 ACM

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          Publication History

          • Published: 2 May 2022

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