Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Maxim Dolgov"'
Publikováno v:
EAI Endorsed Transactions on Cognitive Communications, Vol 4, Iss 14 (2019)
To improve the accuracy of indoor positioning for location-based services, we created an improved WiFi/PDR integrated positioning and navigation system where we are using Extended Kalman filter (EKF). The proposed algorithm first relies on MEMS in ou
Externí odkaz:
https://doaj.org/article/883457fd60a2446cba87d52d07917e0d
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Publikováno v:
ITSC
Lane detection is an essential part of the perception sub-architecture of any automated driving (AD) or advanced driver assistance system (ADAS). When focusing on low-cost, large scale products for automated driving, model-driven approaches for the d
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Making informed driving decisions requires reliable prediction of other vehicles' trajectories. In this paper, we present a novel learned multi-modal trajectory prediction architecture for automated driving. It achieves kinematically feasible predict
Autor:
Thomas Michalke, Maxim Dolgov
Publikováno v:
ITSC
Video-only Automatic Cruise Control (ACC) is a low-cost alternative to radar-based and multi-sensor systems. Furthermore, (mono) cameras are becoming a standard vehicle equipment as part of lane support systems, e.g. in order to be able to achieve a
Autor:
Maxim Dolgov, Uwe D. Hanebeck
Publikováno v:
IEEE Transactions on Automatic Control. 62:5401-5406
In this paper, we address infinite-horizon optimal control of Markov Jump Linear Systems (MJLS) via static output feedback. Because the jump parameter is assumed not to be observed, the optimal control law is nonlinear and intractable. Therefore, we
Publikováno v:
5G World Forum
Cooperative Automated Driving (CAD) brings together driving automation technology with vehicle-to-X (V2X) communication in order to enable vehicles to coordinate their driving maneuvers and achieve a common global knowledge of their surroundings, lea
Publikováno v:
ACC
In this paper, we address optimal control of nonlinear stochastic systems under motion and measurement uncertainty with finite control input and measurement spaces. Such problems can be formalized as partially-observable Markov decision processes whe
Publikováno v:
ACC
In this paper, we are concerned with sequence-based receding horizon control over networks. We address the most general case where acknowledgments are provided but are also subject to delays and losses. This is in contrast to the majority of the rela