Optimizing Vehicle Motion Control for Generating Multiple Sensations

Abstract : Most of automotive researches focus on autonomous vehicles. Studies regarding trajectory planning and trajectory tracking became preponderant. As in case of commercial ground vehicles there is a driver in the loop, one should raise the important question of how the trajectory should be tracked. In this paper, we investigate the influence of controlling integrated chassis systems on the vehicle's behavior. A fixed Model Predictive Control is used to track the trajectory. Tunable vehicle motion control is however used to provide different motion feelings. Results show that a specific trajectory could be followed in different manners. Therefore, vehicle dynamics can be and should be controlled in such a way to generate adaptive trust feelings to passengers in case of autonomous driving.
Document type :
Conference papers
Complete list of metadatas

Cited literature [30 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01814092
Contributor : Moad Kissai <>
Submitted on : Tuesday, June 12, 2018 - 6:23:52 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on : Thursday, September 13, 2018 - 11:33:50 PM

File

IV2018 - Optimizing Vehicle Mo...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01814092, version 1

Citation

Moad Kissai, Xavier Mouton, Bruno Monsuez, Adriana Tapus, Didier Martinez. Optimizing Vehicle Motion Control for Generating Multiple Sensations. 2018 IEEE Intelligent Vehicles Symposium (IV’18), Jun 2018, Changshu, China. ⟨hal-01814092⟩

Share

Metrics

Record views

85

Files downloads

195