CVRSUAD 2014 - Second Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving

Analyzing road scenes using cameras could have a crucial impact in many domains, such as autonomous driving, advanced driver assistance systems (ADAS), personal navigation, mapping of large scale environments, and road maintenance. For instance, vehicle infrastructure, signage, and rules of the road have been designed to be interpreted fully by visual inspection. As the field of computer vision becomes increasingly mature, practical solutions to many of these tasks are now within reach. Nonetheless, there still seems to exist a wide gap between what is needed by the automotive industry and what is currently possible using computer vision techniques. The goal of this workshop is to allow researchers in the fields of road scene understanding and autonomous driving to present their progress and discuss novel ideas that will shape the future of this area. In particular, we would like this workshop to bridge the large gap between the community that develops novel theoretical approaches for road scene understanding and the community that builds working real-life systems performing in real-world conditions. To this end, we encourage submissions of original and unpublished work in the area of vision-based road scene understanding. The topics of interest include (but are not limited to):
Prediction and modeling of road scenes and scenarios
Semantic labeling, object detection and recognition in road scenes
Dynamic 3D reconstruction, SLAM and ego-motion estimation
Visual feature extraction, classification and tracking
Processing for prosthetic (bionic) vision and low-vision assistive devices
Design and development of robust and real-time architectures
Use of emerging sensors (e.g., multispectral, RGB-D, LIDAR and LADAR)
Fusion of RGB imagery with other sensing modalities
Interdisciplinary contributions across computer vision, optics, robotics and other related fields.
We encourage researchers to submit not only theoretical contributions, but also work more focused on applications. Each paper will receive 3 double blind reviews, which will be moderated by the workshop chairs.
Invited Speakers / Demos
Uwe Franke / Timo Scharwächter, Daimler, Germany
Paul Furgale, Vcharge ETH Zurich, Switzerland
Dariu Gavrila, Daimler, Germany
Will Maddern, Oxford University, United Kingdom
Andrew Ng, Stanford University, USA
Srikumar Ramalingam, MERL, USA
Amnon Shashua, MobilEye, Israel
Important Dates
Submission Deadline: July 2.
Notification of Acceptance: July 20.
Camera-ready Deadline: July 25.
Workshop: September 7.
Organizing Committee
Bart Nabbe (Toyota, USA)
Mathieu Salzmann (NICTA, Australia)
Lars Petersson (NICTA, Australia)
Jose Alvarez (NICTA, Australia)
Raquel Urtasun (University of Toronto, Canada)
Fatih Porikli (NICTA, Australia)
Gary Overett (NICTA, Australia)
Nick Barnes (NICTA, Australia)
Program Committee
Academia
H. Badino, National Robotics Engineering Center, USA
R. Benenson, MPI Saarbruecken, Germany
P. Borges, CSIRO Brisbane, Australia
M. Brubaker, TTI Chicago, USA
F. Dellaert, Georgia Institute of Technology, USA
S. Fidler, TTI Chicago, USA
M. Fritz, MPI Saarbruecken, Germany
A. Geiger, MPI Tuebingen, Germany
T. Gevers, University of Amsterdam, Netherlands
S. Gould, Australian National University, Australia
X. He, NICTA, Australia
H. Kong, MIT, USA
S. Koppal, Univeristy of Florida, USA
A. Lapedriza, Universitat Oberta de Catalunya, Spain
B. Leibe, RWTH Aachen University, Germany
P. Lenz, Karlsruhe Institute of Technology, Germany
J. Levinson, Stanford University, USA
S. Lucey, CSIRO Brisbane, Australia
Y. Li, NICTA, Australia
S. Narasimhan, Carnegie Mellon University, USA
U. Nunes, University of Coimbra, Portugal
A. Robles-Kelly, NICTA, Australia
R. Rojas, Freie Universitaet Berlin, Germany
S. Roth, TU Darmstadt, Germany
B. Schiele, Max Planck Institut, Germany
C. Shen, University of Adelaide, Australia
J. Shi, University of Pennsylvania, USA
M.A. Sotelo, University of Alcala, Spain
C. Stiller, Karlsruhe Institute of Technology, Germany
M. Trivedi, UCSD, USA
J. van de Weijer, Computer Vision Center Barcelona, Spain
J. Verbeek, INRIA, France
G. Zen, University of Trento, Italy
Industry
A. Barth, Daimler, Germany
G. Dedeoglu, PercepTonic, USA
M. Enzweiler, Daimler, Germany
A. Ferencz, MobilEye, USA
U. Franke, Daimler, Germany
J. Fritsch, Honda Research Institute, Germany
R. Hammoud, BAE Systems, USA
B. Heisele, Honda Research Institute, USA
A. Khiat, Nissan, Japan
A. Krainov, Yandex, Russia
D. Langer, ASCar, USA
D. Levi, General Motors, USA
A. Ranganathan, Honda Research Institute, USA,
M. Samples, Toyota, USA
O. Tuzel, MERL, USA
W. Zhang, General Motors, USA
Paper Submission
Papers should describe original and unpublished work about the above or closely related topics. Each paper will receive double blind reviews, moderated by the workshop chairs. Authors should take into account the following:
All papers must be written in English and submitted in PDF format.
Papers must be submitted online through the CMT submission system. The submission site is: https://cmt2.research.microsoft.com/CVRSUAD2014.
The maximum paper length is 12 pages. Note that shorter submissions are also welcome. The workshop paper format guidelines are the same as the Main Conference papers.
Submissions will be rejected without review if they: contain more than 12 pages, violate the double-blind policy or violate the dual-submission policy. The author kit provides a LaTeX2e template for submissions, and an example paper to demonstrate the format. Please refer to this example for detailed formatting instructions.
A paper ID will be allocated to you during submission. Please replace the asterisks in the example paper with your paper's own ID before uploading your file. More detailed instructions can be found at the main conference website.