Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tomasz Gawron"'
Autor:
Tomasz Gawron, Maciej Marcin Michałek
Publikováno v:
Applied Sciences, Vol 8, Iss 11, p 2127 (2018)
Provably correct and computationally efficient path planning in the presence of various constraints is essential for autonomous driving and agile maneuvering of mobile robots. In this paper, we consider the planning of G 3-continuous planar paths wit
Externí odkaz:
https://doaj.org/article/a5b3d556920f40c7adf7614a3854d067
Publikováno v:
IEEE Vehicular Technology Magazine. 16:57-65
Contemporary transportation is developing toward applications of large-capacity vehicles. This trend is caused mainly by environmental and economic factors. In the public transportation area, it leads to the use of long and articulated electric buses
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:8381-8394
Development of compact and easy to use mathematical models of articulated vehicles for the motion planning, control, and localization purposes becomes more and more important in the era of intelligent transportation systems, especially when there exi
Autor:
Krzysztof Kozłowski, Tomasz Gawron
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030509354
KKA
KKA
As the field of automation and robotics develops, control software driving the robotic systems becomes more and more complex. Currently, a predominant approach to modularization and structuring of software in the robotics community, which is embodied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1cff5e68b8aad09795708e03fedc17d
https://doi.org/10.1007/978-3-030-50936-1_91
https://doi.org/10.1007/978-3-030-50936-1_91
Publikováno v:
Engineering Applications of Artificial Intelligence. 105:104399
Being able to rapidly respond to the changing scenes and traffic situations by generating feasible local paths is of pivotal importance for car autonomy. We propose to train a deep neural network (DNN) to plan feasible and nearly-optimal paths for ki
Autor:
Tomasz Gawron, Maciej Marcin Michalek
Publikováno v:
Journal of Intelligent & Robotic Systems. 89:265-297
Integrated motion planning and control for the purposes of maneuvering mobile robots under state- and input constraints is a problem of vital practical importance in applications of mobile robots such as autonomous transportation. Those constraints a
Autor:
Maciej Marcin Michalek, Tomasz Gawron
Publikováno v:
Journal of Intelligent & Robotic Systems. 89:191-210
The Vector-Field-Orientation (VFO) method is a control design concept which was originally introduced for the unicycle kinematics to solve two classical control tasks corresponding to the trajectory tracking and set-point control problems. A unified
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
The paper presents a motion algorithmization subsystem used as a part of an advanced driver assistance system (ADAS) which is intended to help a human operator perform difficult maneuvers with intelligent urban buses in a more effective way. The algo
Autor:
Maciej Marcin Michalek, Tomasz Gawron
Publikováno v:
Applied Sciences
Volume 8
Issue 11
Applied Sciences, Vol 8, Iss 11, p 2127 (2018)
Volume 8
Issue 11
Applied Sciences, Vol 8, Iss 11, p 2127 (2018)
Provably correct and computationally efficient path planning in the presence of various constraints is essential for autonomous driving and agile maneuvering of mobile robots. In this paper, we consider the planning of G 3 -continuous planar paths wi
Autor:
Maciej Marcin Michalek, Tomasz Gawron
Publikováno v:
IROS
Vehicles with car-like kinematics are ubiquitous, therefore an ability to algorithmize (i.e., how to plan and effectively execute) complex maneuvers in the presence of obstacles is vital to mobile robotics and intelligent vehicles. Traditionally, thi