Veröffentlichungen

Aurelio Ponz, C.H. Rodriguez-Garavito, Fernando Garcia, Philip Lenz, Christoph Stiller, J.M. Armingol. Laser Scanner and Camera Fusion for Automatic Obstacle Classification in ADAS Application. Springer-Verlag, Heidelberg, 2015. (VEHITS best paper award).

Philip Lenz, Andreas Geiger, Raquel Urtasun. FollowMe: Efficient online min-cost flow tracking with bounded memory and computation. In Proceedings of the IEEE International Conference on Computer Vision, Seiten 4364--4372, 2015.

Philip Lenz. Efficient Min-cost Flow Tracking with Bounded Memory and Computation. Dissertation, Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie (KIT), Karlsruhe, 2015. [ http ]

Andreas Geiger, Philip Lenz, Christoph Stiller, Raquel Urtasun. Vision meets Robotics: The KITTI Dataset. International Journal of Robotics Research (IJRR), 32:1229--1235, 2013. [ .pdf ]

Andreas Geiger, Philip Lenz, Raquel Urtasun. Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite. In Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012. [ .pdf ]

Martin Roser, Philip Lenz. A Novel Two-Stage Algorithm for Non-Parametric Cast Shadow Recognition. In IEEE Intelligent Vehicle Symposium (IV '11), Baden-Baden, Germany, 2011. [ .pdf ]

Philip Lenz, Julius Ziegler, Andreas Geiger, Martin Roser. Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments. In IEEE Intelligent Vehicle Symposium (IV '11), Baden-Baden, Germany, 2011. [ .pdf | http ]

Martin Roser, Philip Lenz. Camera-based Bidirectional Reflectance Measurement for Road Surface Reflectivity Classification. In Proceedings of the IEEE Intelligent Vehicles Symposium, June 2010. [ http | .pdf ]

Philip Lenz. Stereo Vision and Color Image Evaluation for Combined Scene Segmentation and Detection of Traffic Participants. In IEEE Intelligent Vehicles Symposium - Ph.D. Dissertation Forum, 2010.

Jens Gayko, Martin Roser, Philip Lenz. System for Road Surface Reflectivity Classification. Honda Motor Co Ltd., Patentanmeldung (PCT/JP2010/004092), anmeldedatum: 2010-06-18 edition, 2010. [ http ]