Memory efficient spectral estimation on parallel computing architectures. - Michael Barjenbruch; Franz Gritschneder; Klaus Dietmayer; Jens Klappstein; Jürgen Dickmann (SP/SPE, 2015)

Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach. - Felix Kunz; Dominik Nuss; Jürgen Wiest; Hendrik Deusch; Stephan Reuter; Franz Gritschneder; Alexander Scheel; Manuel Stuebler; Martin Bach; Patrick Hatzelmann; Cornelius Wild; Klaus Dietmayer (Intelligent Vehicles Symposium, 2015)

A Theory for Rapid Exact Signal Scanning with Deep Multi-Scale Convolutional Neural Networks. - Markus Thom; Franz Gritschneder (CoRR, 2015)

Adaptive learning based on guided exploration for decision making at roundabouts. - Franz Gritschneder; Patrick Hatzelmann; Markus Thom; Felix Kunz; Klaus Dietmayer (Intelligent Vehicles Symposium, 2016)

Rapid Exact Signal Scanning With Deep Convolutional Neural Networks. - Markus Thom; Franz Gritschneder (IEEE Trans. Signal Process., 2017)

Fast Trajectory Planning for Automated Vehicles Using Gradient-Based Nonlinear Model Predictive Control. - Franz Gritschneder; Knut Graichen; Klaus Dietmayer (IROS, 2018)

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. - Julian Schmidt; Julian Jordan; Franz Gritschneder; Klaus Dietmayer (ICRA, 2022)

Exploring Navigation Maps for Learning-Based Motion Prediction. - Julian Schmidt; Julian Jordan; Franz Gritschneder; Thomas Monninger; Klaus Dietmayer (ICRA, 2023)