English

Optimizing Passenger Comfort in Cost Functions for Trajectory Planning

Robotics 2018-11-19 v1

Abstract

Current advances in the development of autonomous cars suggest that driverless cars may see wide-scale deployment in the near future. Research by both industry and academia is driven by potential benefits of this new technology, including reductions in fatalities and improvements in traffic and fuel efficiency as well as greater mobility for people who will or cannot drive cars themselves. A deciding factor for the adoption of self-driving cars besides safety will be the comfort of the passengers. This report looks at cost functions currently used in motion planning methods for autonomous on-road driving. Specifically, how the human perception of how comfortable a trajectory is can be formulated within cost functions.

Keywords

Cite

@article{arxiv.1811.06895,
  title  = {Optimizing Passenger Comfort in Cost Functions for Trajectory Planning},
  author = {Jean Elsner},
  journal= {arXiv preprint arXiv:1811.06895},
  year   = {2018}
}

Comments

7 pages, 9 figures

R2 v1 2026-06-23T05:18:21.580Z