Education & Qualifications

  • Vehicle Engineer BSc
  • Vehicle Engineer MSc
  • Transportation and Vehicle Sciences PhD

Research Areas

  • Automotive Environment Perception
  • Bayesian Recursive State Estimation
  • Multi-Object Tracking
  • Sensor Data Fusion

Teaching Activity

  • Automotive Environment Sensors
  • Programming in C and MATLAB
  • System Integration

Projects, scholarships

  • National Laboratory for Autonomous Systems
  • University Research Scholarship Programme

Highlighted Publications

Lindenmaier, L., Aradi, S., Bécsi, T., & Gáspár, P. (2025).
Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 10(2), 1441-1454. [SJR: D1]
Lindenmaier, L., Czibere, B., Aradi, S., & Bécsi, T. (2025).
A Robust and Runtime-Efficient Track-to-Track Fusion for Automotive Perception Systems.
IEEE SENSORS JOURNAL, 25(8), 14022-14035. [SJR: D1]
Lindenmaier, L., Aradi, S., Bécsi, T., Törő, O., & Gáspár, P. (2023).
Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 8(10), 4341-4356. [SJR: D1]
Lindenmaier, L., Aradi, S., Bécsi, T., Törő, O., & Gáspár, P. (2022).
GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(7), 7215-7229. [SJR: D1]
Lövétei, I., Lindenmaier, L., & Aradi, S. (2025).
Efficient real-time rail traffic optimization: Decomposition of rerouting, reordering, and rescheduling problems.
JOURNAL OF RAIL TRANSPORT PLANNING AND MANAGEMENT, 33. [SJR: Q1]