Philip Lenz
Philip Lenz
Research Scientist, Bosch Corporate Research
Email verificata su de.bosch.com - Home page
Titolo
Citata da
Citata da
Anno
Are we ready for autonomous driving? the kitti vision benchmark suite
A Geiger, P Lenz, R Urtasun
2012 IEEE Conference on Computer Vision and Pattern Recognition, 3354-3361, 2012
69172012
Vision meets robotics: The kitti dataset
A Geiger, P Lenz, C Stiller, R Urtasun
The International Journal of Robotics Research 32 (11), 1231-1237, 2013
42702013
Sparse scene flow segmentation for moving object detection in urban environments
P Lenz, J Ziegler, A Geiger, M Roser
2011 IEEE Intelligent Vehicles Symposium (IV), 926-932, 2011
1612011
Joint 3d estimation of objects and scene layout
A Geiger, C Wojek, R Urtasun
Advances in Neural Information Processing Systems 24, 1467-1475, 2011
1322011
Followme: Efficient online min-cost flow tracking with bounded memory and computation
P Lenz, A Geiger, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 4364-4372, 2015
982015
The KITTI vision benchmark suite
A Geiger, P Lenz, C Stiller, R Urtasun
URL http://www. cvlibs. net/datasets/kitti 2, 2015
632015
Cereals-cost-effective region-based active learning for semantic segmentation
R Mackowiak, P Lenz, O Ghori, F Diego, O Lange, C Rother
arXiv preprint arXiv:1810.09726, 2018
382018
Laser scanner and camera fusion for automatic obstacle classification in ADAS application
A Ponz, CH Rodríguez-Garavito, F García, P Lenz, C Stiller, JM Armingol
Smart Cities, Green Technologies, and Intelligent Transport Systems, 237-249, 2015
102015
Profitieren von Nanotechnologie: Investment der Zukunft
M Beckmann, P Lenz
FinanzBuch-Verlag, 2002
92002
„Profitieren von Nanotechnologie
M Beckmann, P Lenz
Investment der Zukunft “, München, 2002
82002
Camera-based bidirectional reflectance measurement for road surface reflectivity classification
M Roser, P Lenz
2010 IEEE Intelligent Vehicles Symposium, 340-347, 2010
72010
METHOD AND DEVICE FOR ASCERTAINING A STATE OF A VEHICLE LIGHT OF A VEHICLE
A Lengsfeld, E Dietrich, M Brueckner, P Lenz
US Patent App. 16/658,828, 2020
22020
Nano-Stocks
M Beckmann, P Lenz
Boersenmedien AG, 2004
22004
Automatic Obstacle Classification using Laser and Camera Fusion.
A Ponz, CH Rodríguez-Garavito, F García, P Lenz, C Stiller, JM Armingol
VEHITS, 19-24, 2015
12015
Novel two-stage algorithm for non-parametric cast shadow recognition
M Roser, P Lenz
2011 IEEE Intelligent Vehicles Symposium (IV), 1116-1121, 2011
12011
Method for determining a degree of overlap of an object with a lane
P Lenz, A Lengsfeld, M Brueckner
US Patent App. 16/896,898, 2020
2020
Low-dimensional ascertaining of delimited regions and motion paths
M Brueckner, A Lengsfeld, P Lenz
US Patent App. 16/213,239, 2019
2019
Efficient Min-cost Flow Tracking with Bounded Memory and Computation
P Lenz
2015
Nano-Stocks: profitieren Sie von der nächsten industriellen Revolution!
M Beckmann, P Lenz
Börsenmedien, 2004
2004
CEREALS-Cost-Effective REgion-based Active Learning for Semantic Segmentation Download PDF
R Mackowiak, P Lenz, FD Omair Ghori, O Lange, C Rother
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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