Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Erno Horvath"'
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:4286-4297
Autor:
Gergo Ferenc Igneczi, Erno Horvath
Publikováno v:
2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Autor:
Gergo Igneczi, Erno Horvath
Publikováno v:
2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Autor:
Claudiu Radu Pozna, Erno Horvath
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Lately self-driving navigation and control have obtained significant attention in many fields, such as mobile robotics or autonomous driving. Although sensing, perception, planning and following subtasks associated with autonomous vehicles persist wi
Publikováno v:
2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES).
The paper proposes an own-developed point-cloud processing algorithm which was developed for the Autonomous Urban Concept competition organized by Shell. The approach does not intend to solve general-purpose object recognition and tracking, although
Publikováno v:
2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES).
Our university is determined to research and educate self-driving and autonomous technology. These two field require different necessities and attitude. In his paper we would like to summarize the migration from a road-legal vehicle to a self-develop
Publikováno v:
2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control (GPMC).
In this paper, we present an enhancement to the popular pure-pursuit algorithm, widely used in robotics and automotive applications. The original algorithm is simple and straightforward as it depends only on the very basic attributes of the kinematic
Publikováno v:
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Pure-pursuit algorithm is a popular trajectory tracking algorithm, widely used in mobile robotics and vehicular control for numerous reasons. The operation is simple and straightforward as it depends only on the kinematic model of the target mechanic
Publikováno v:
2019 20th International Carpathian Control Conference (ICCC).
Recently autonomous navigation technologies have received huge attention in many fields, such as autonomous driving or mobile robotics. Simultaneous localization and mapping (SLAM) [1] is a key problem in this field and the current paper targets the
Publikováno v:
2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).
Occupancy gird map is a popular way of representing the environment regarding robots and vehicles. It consists of discrete cells, where each occupancy grid cell is valued independently. Because the represented grid structure is rigid it requires prio