Giovanni Lucente

Giovanni Lucente, PhD

Autonomous Driving Engineer - Researcher

About Me

I completed my PhD at TU Berlin and currently work as a researcher and engineer at the German Aerospace Center (DLR). My expertise lies in autonomous driving, AI, computer vision and multi-agent systems. My work focuses on conducting research and developing advanced solutions for intelligent transportation and autonomous systems, in particular:

Education

Work Experience

Projects

Dynamic Game

🔹 Dynamic Game-Theoretic Trajectory Planner

Diffusion Model

🔹 Generative AI for Trajectory Prediction

LSTM-CNN

🔹 LSTM-CNN model for Vehicle Longitudinal Motion Predictor

Reinforcement Learning

🔹 Reinforcement Learning for Autonomous Driving

Bayesian Approach for Vehicle Intention Prediction

🔹 Bayesian Approach with prior Mixed-Strategy Nash Equilibrium for Vehicle Intention Prediction

Cooperative Cruise Control

🔹 Decentralized Platoon Management and Cooperative Cruise Control of Autonomous Cars with Manoeuvre Coordination Message

ADORe

🔹 ADORe: Automated Driving Open Research

Publications

Published

  1. Lucente, G., Dariani, R., Schindler, J., & Ortgiese, M. A Bayesian Approach with Prior Mixed Strategy Nash Equilibrium for Vehicle Intention Prediction. Automotive Innovation, 6, 425–437 (2023). doi:10.1007/s42154-023-00229-0
    Best Paper Award, Automotive Innovation, 2023
  2. Lucente, G., Maarssoe, M., Kahl, I., & Schindler, J. Deep Learning Algorithms for Longitudinal Driving Behavior Prediction: A Comparative Analysis of CNN and LSTM Models. SAE Int. J. Connect. (2024). doi:10.4271/12-07-04-0025
  3. Lucente, G., Maarssoe, M., Konthala, S., Abulehia, A., Dariani, R., & Schindler, J. DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning. IEEE Open Journal of Intelligent Transportation Systems (2024). doi:10.1109/OJITS.2024.3515270
  4. Maarssoe, M. S., Konthala, S., Mizdrak, M., Lucente, G., Nichting, M., Lobig, T., & Koerner, A. ADORe: Unified Modular Framework for Vehicle and Infrastructure-Based System Level Automation. In Proc. of the 11th Intl. Conf. on Vehicle Technology and Intelligent Transport Systems (VEHITS), 2025. doi:10.5220/0013405200003941
  5. Dariani, R., Lucente, G., & Schindler, J. Decentralized Platoon Management and Cooperative Cruise Control of Autonomous Cars with Manoeuvre Coordination Message. In Proc. of the 8th Intl. Conf. on Vehicle Technology and Intelligent Transport Systems (VEHITS), 2022. doi:10.5220/0011043400003191

Accepted for Publication

  1. Mizdrak, M., Lucente, G., Konthala, S., Maarssø, M. S., Böker, K., Burger, J., Heinrich, M., Lee, A., Doll, J., Ochs, S., Fleck, T., & Schindler, J. Managed Automated Driving (MAD): Real-World Demonstration of Infrastructure-Controlled Vehicle Automation. Accepted at IEEE Intelligent Vehicles Symposium (IV), 2026.
  2. Xu, W., Lucente, G., & Membarth, R. Energy- and Runtime-Efficient Trajectory Planning via SIMD Vectorization with Reduced Precision. Accepted at IEEE Intelligent Vehicles Symposium (IV), 2026.

Submitted

  1. Winter, K., Vivekanandan, A., Polley, R., Shen, Y., Schlauch, C., Bouzidi, M., Derajic, B., Grabowsky, N., Mariani, A., Rochau, D., Lucente, G., Yadav, H., Mualla, F., Molin, A., Bernhard, S., Wirth, C., Tas, Ö., Klein, N., Flohr, F., & Gottschalk, H. Generative AI for Autonomous Driving: A Review. Submitted to IEEE Transactions on Intelligent Transportation Systems, Special Issue on Generative AI for ITS Technologies, 2025. doi:10.48550/arXiv.2505.15863