Coordinating Tire Forces to Avoid Obstacles Using Nonlinear Model Predictive Control: Video
Abstract/Contents
- Abstract
- Video of a Model Predictive Controller performing an emergency double lane change in response to two obstacles that virtually "pop up" in front of the vehicle. The controller coordinates braking and turning forces on each axle to avoid the obstacles, even when one or more tires are fully saturated. Video shows a top down shot of the experiment, then a over-shoulder shot with an inset view of the front left tire.
Description
| Type of resource | moving image |
|---|---|
| Date created | April 11, 2018 |
Creators/Contributors
| Author | Brown, Matthew |
|---|
Subjects
| Subject | mechanical engineering |
|---|---|
| Subject | automated vehicles |
| Subject | vehicle dynamics |
| Subject | controls |
| Genre | Motion picture |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Brown, Matthew. (2018). Coordinating Tire Forces to Avoid Obstacles Using Nonlinear Model Predictive Control: Video. Stanford Digital Repository. Available at: https://purl.stanford.edu/kw432sz0082
Collection
Dynamic Design Lab
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- Contact
- mjbrown@stanford.edu
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