E-LIB Suche - Ergebnisse für: Aradi, Szilard

1

Semi-Automatic BEV Ground Truth Generation for Automotive P..:

Lindenmaier, László ; Aradi, Szilárd ; Bécsi, Tamás.
IEEE Transactions on Intelligent Vehicles. , 2024

Link: https://doi.org/10.1109/..

2

Model Development for Off-Road Traction Control: A Linear P..:

Szabo, Adam ; Doba, Daniel Karoly ; Aradi, Szilard.
Agriculture. 14 (2024) 3 - p. 499 , 2024

Link: https://doi.org/10.3390/..

3

A Runtime-Efficient Multi-Object Tracking Approach for Auto..:

, In: 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI),

Lindenmaier, Laszlo ; Czibere, Balazs ; Aradi, Szilard. - p. 000785-000792 , 2023

Link: https://doi.org/10.1109/..

4

Multi-Agent Reinforcement Learning for railway rescheduling:

, In: 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI),

Kovari, Balint ; Balogh, Csanad L. ; Aradi, Szilard - p. 000375-000380 , 2023

Link: https://doi.org/10.1109/..

5

Runtime Performance Analysis of a MILP-Based Real-Time Rail..:

, In: 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY),

Aradi, Szilard ; Lindenmaier, Laszlo ; Lovatei, Istvan Ferenc - p. 000265-000270 , 2023

Link: https://doi.org/10.1109/..

6

Multi-Agent Reinforcement Learning for Traffic Signal Contr..:

Kolat, Máté ; Kővári, Bálint ; Bécsi, Tamás.
Sustainability. 15 (2023) 4 - p. 3479 , 2023

Link: https://doi.org/10.3390/..

7

Traffic Signal Control with Successor Feature-Based Deep Re..:

Szoke, Laszlo ; Aradi, Szilárd ; Bécsi, Tamás
Electronics. 12 (2023) 6 - p. 1442 , 2023

Link: https://doi.org/10.3390/..

8

Object-Level Data-Driven Sensor Simulation for Automotive E..:

Lindenmaier, László ; Aradi, Szilárd ; Bécsi, Tamás..
IEEE Transactions on Intelligent Vehicles. 8 (2023) 10 - p. 4341-4356 , 2023

Link: https://doi.org/10.1109/..

9

Defining metrics for scenario-based evaluation of autonomou..:

, In: 2022 IEEE 1st International Conference on Cognitive Mobility (CogMob),

Farkas, Peter ; Szoke, Laszlo ; Aradi, Szilard - p. 000155-000160 , 2022

Link: https://doi.org/10.1109/..

10

GM-PHD Filter Based Sensor Data Fusion for Automotive Front..:

Lindenmaier, Laszlo ; Aradi, Szilard ; Becsi, Tamas..
IEEE Transactions on Vehicular Technology. 71 (2022) 7 - p. 7215-7229 , 2022

Link: https://doi.org/10.1109/..

11

Competitive Multi-Agent Reinforcement Learning for Traffic ..:

, In: 2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY),

Kovari, Balint ; Kolat, Mate ; Becsi, Tamas. - p. 361-366 , 2022

Link: https://doi.org/10.1109/..

12

Investigating Successor Features in the Domain of Autonomou..:

Szoke, Laszlo ; Aradi, Szilard ; Tettamanti, Tamas
Transportation Research Procedia. 62 (2022) - p. 181-188 , 2022

Link: https://doi.org/10.1016/..

13

Reward Design for Intelligent Intersection Control to Reduc..:

Kovari, Balint ; Pelenczei, Balint ; Aradi, Szilard.
IEEE Access. 10 (2022) - p. 39691-39699 , 2022

Link: https://doi.org/10.1109/..

14

MILP-Based Optimization of the Extended Real- Time Railway ..:

, In: 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI),

Lindenmaier, Laszlo ; Aradi, Szilard ; Becsi, Tamas. - p. 000105-000110 , 2022

Link: https://doi.org/10.1109/..

15

Survey of Deep Reinforcement Learning for Motion Planning o..:

Aradi, Szilard
IEEE Transactions on Intelligent Transportation Systems. 23 (2022) 2 - p. 740-759 , 2022

Link: https://doi.org/10.1109/..