Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22) |
Erscheinungsort | Tokio |
Band | 15 |
Publikationsstatus | Veröffentlicht - 2022 |
Abstract
Schlagwörter
- Advanced Driver Assistance Systems, autonomous driving
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Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22). Band 15 Tokio, 2022.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Assessment of Algorithms for a Real-Time Optimization of the Vehicle Speed
AU - Fink, Daniel
AU - Schulz, Yannik
AU - Ziaukas, Zygimantas
AU - Schweers, Christoph
AU - Trabelsi, Ahmed
AU - Jacob, Hans-Georg
PY - 2022
Y1 - 2022
N2 - Targeting a resource-efficient automotive traffic, modern assistant systems include speed optimization algorithms to minimize the energy demand, based on route data. For this purpose, this paper compares different optimization approaches, such as dynamic programming (DP), an A*- algorithm as well as various adaptions of a DP based approach. As a result, an optimization approach is presented that reduces the computation time on real-time hardware by 26% without causing significant decreases in performance.
AB - Targeting a resource-efficient automotive traffic, modern assistant systems include speed optimization algorithms to minimize the energy demand, based on route data. For this purpose, this paper compares different optimization approaches, such as dynamic programming (DP), an A*- algorithm as well as various adaptions of a DP based approach. As a result, an optimization approach is presented that reduces the computation time on real-time hardware by 26% without causing significant decreases in performance.
KW - Advanced Driver Assistance Systems
KW - autonomous driving
M3 - Contribution to book/anthology
VL - 15
BT - Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22)
CY - Tokio
ER -