Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Frank-Josef Heßeler"'
Fast real-time localization with sparse digital maps for connected automated vehicles in urban areas
Publikováno v:
IFAC-PapersOnLine. 52:366-371
For the realization of advanced automation systems in road vehicles, accurate and robust localization is a crucial requirement. Satellite-based systems such as GPS are generally able to provide geolocations, but their precision and robustness can be
Publikováno v:
7 Seiten (2019). doi:10.18154/RWTH-2019-04971
The development of autonomous driving promises to make traffic safer, more comfortable and efficient. While respective vehicles are equipped with an array of sensors, communication and intelligent infrastructure systems will act in a supporting role
Autor:
Christian-Eike Framing, Raffael Hedinger, Dirk Abel, Frank-Josef Heßeler, Emmanuel Santiago Iglesias
Publikováno v:
IFAC-PapersOnLine 53(2), 17168-17173 (2020). doi:10.1016/j.ifacol.2020.12.1722 special issue: "21th IFAC World Congress / Edited by Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann"
21. IFAC World Congress, online, 2020-07-11-2020-07-17
arXiv
IFAC-PapersOnLine, 53 (2)
21th IFAC World Congress. Proceedings
21. IFAC World Congress, online, 2020-07-11-2020-07-17
arXiv
IFAC-PapersOnLine, 53 (2)
21th IFAC World Congress. Proceedings
In this work we present EduBal, an educational open-source hardware and software platform for a balancing robot. The robot is designed to be low-cost, safe and easy to use by students for control education. Along with the robot we present example tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7612eca48f0c245cf8921a7ae32c738
Publikováno v:
at - Automatisierungstechnik. 66:183-191
One major key to autonomous driving is reliable knowledge about the vehicle's surroundings. In complex situations like urban intersections, the vehicle's on-board sensors are often unable to detect and classify all features of the environment. Theref
Publikováno v:
IFAC-PapersOnLine. 49:216-221
This paper proposes a novel strategy for Non-Cooperative Distributed Model Predictive Control (Non-Coop. DMPC) of Networked Control Systems (NCS) consisting of dynamically decoupled agents where the coupling is achieved in the objective function or i
Publikováno v:
IFAC Proceedings Volumes. 46:606-611
In this paper, a model of the thermal on board diagnostic system of a BMW spark ignition engine is presented. At first, the model of the thermal system including the engine itself and several heat exchangers is set up as a simulation environment for
Publikováno v:
Automated Driving ISBN: 9783319318936
This chapter presents a test infrastructure for the Galileo satellite system and its applications in advanced driver assistance systems. For this purpose, we first introduce a sensor data fusion of Galileo signals and vehicle data using an extended K
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f8d40362809fa5ff6ddf38647b1973e
https://doi.org/10.1007/978-3-319-31895-0_8
https://doi.org/10.1007/978-3-319-31895-0_8
Publikováno v:
MED
This paper presents a model-based method for the calibration of thermal on-board diagnostic functions. As an example application for the model-based calibration approach, the calibration of the engine temperature sensor diagnostic function is employe
Publikováno v:
IFAC Proceedings Volumes. 44:12998-13003
Recent research in modern combustion technologies, like partial homogeneous charge compression ignition (PCCI), demonstrates the capability of reducing pollutant emissions, e.g. soot and NOX. In addition to this advantage, a possibility to reduce fue
Publikováno v:
IFAC Proceedings Volumes. 44:2943-2948
Despite the advantage of a hybrid electric vehicle (HEV) to save fuel and minimize exhaust emissions, the drivability of an HEV is very important. Due to the electric machine in the drivetrain of a parallel HEV, it is possible to realize gear shifts