Vehicle control based on infrastructure and other vehicles
Abstract
Vehicle controller circuitry for a subject vehicle to determine vehicle constraints including predicted values for vehicle speed of at least one other vehicle and predicted values of for vehicle position of the at least one other vehicle relative to the subject vehicle, wherein the vehicle constraints are determined at predetermined time steps (k) over a time horizon (Th).
- Inventors:
- Issue Date:
- Research Org.:
- Southwest Research Institute, San Antonio, TX (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1998394
- Patent Number(s):
- 11654913
- Application Number:
- 17/249,545
- Assignee:
- Southwest Research Institute (San Antonio, TX)
- DOE Contract Number:
- AR0000837
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 03/04/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Sarlashkar, Jayant V., Rengarajan, Sankar B., Hotz, Scott R., and Gankov, Stanislav A. Vehicle control based on infrastructure and other vehicles. United States: N. p., 2023.
Web.
Sarlashkar, Jayant V., Rengarajan, Sankar B., Hotz, Scott R., & Gankov, Stanislav A. Vehicle control based on infrastructure and other vehicles. United States.
Sarlashkar, Jayant V., Rengarajan, Sankar B., Hotz, Scott R., and Gankov, Stanislav A. Tue .
"Vehicle control based on infrastructure and other vehicles". United States. https://www.osti.gov/servlets/purl/1998394.
@article{osti_1998394,
title = {Vehicle control based on infrastructure and other vehicles},
author = {Sarlashkar, Jayant V. and Rengarajan, Sankar B. and Hotz, Scott R. and Gankov, Stanislav A.},
abstractNote = {Vehicle controller circuitry for a subject vehicle to determine vehicle constraints including predicted values for vehicle speed of at least one other vehicle and predicted values of for vehicle position of the at least one other vehicle relative to the subject vehicle, wherein the vehicle constraints are determined at predetermined time steps (k) over a time horizon (Th).},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {5}
}
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