A data-driven approach for pedestrian intention estimation. - Benjamin Völz; Karsten Behrendt; Holger Mielenz; Igor Gilitschenski; Roland Siegwart; Juan I. Nieto 001 (ITSC, 2016)

A deep learning approach to traffic lights: Detection, tracking, and classification. - Karsten Behrendt; Libor Novak; Rami Botros (ICRA, 2017)

Deep learning lane marker segmentation from automatically generated labels. - Karsten Behrendt; Jonas Witt (IROS, 2017)

Boxy Vehicle Detection in Large Images. - Karsten Behrendt (ICCV Workshops, 2019)

Unsupervised Labeled Lane Markers Using Maps. - Karsten Behrendt; Ryan Soussan (ICCV Workshops, 2019)

Long-term Labeling: Reusing Annotations for Changing Detections. - Karsten Behrendt; Abhishek Mantha (ITSC, 2019)

Is This Car Going to Move? Parked Car Classification for Automated Vehicles. - Karsten Behrendt; Olivier Mangin; Namrata Bhakta; Stéphanie Lefèvre (IV, 2019)

OpenEDS2020: Open Eyes Dataset. - Cristina Palmero; Abhishek Sharma; Karsten Behrendt; Kapil Krishnakumar; Oleg V. Komogortsev; Sachin S. Talathi (CoRR, 2020)

OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results. - Cristina Palmero; Abhishek Sharma; Karsten Behrendt; Kapil Krishnakumar; Oleg V. Komogortsev; Sachin S. Talathi (Sensors, 2021)