MILP-Based Optimization of the Extended Real- Time Railway Traffic Management Problem. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; István Ferenc Lövétei (SACI, 2022)

GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Olivér Töro; Péter Gáspár (IEEE Trans. Veh. Technol., 2022)

A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. - László Lindenmaier; Balázs Czibere; Szilárd Aradi; Tamás Bécsi (SACI, 2023)

Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm. - Szilárd Aradi; László Lindenmaier; István Ferenc Lövétei (SISY, 2023)

Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Olivér Töro; Péter Gáspár (IEEE Trans. Intell. Veh., 2023)

Real-Time Rail Energy Consumption Minimization: Optimal Speed Profile Planning. - László Lindenmaier; Szilárd Aradi; István Ferenc Lövétei (SACI, 2024)

Efficient real-time rail traffic optimization: Decomposition of rerouting, reordering, and rescheduling problems. - István Ferenc Lövétei; László Lindenmaier; Szilárd Aradi (J. Rail Transp. Plan. Manag., 2025)

Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Péter Gáspár (IEEE Trans. Intell. Veh., 2025)