[visionlist] Special Issue on Car Navigation & Vehicle Systems

[Dr. Fatih Porikli]

*                    Journal of Machine Vision Applications
C A R    N A V I G A T I O N   &  V E H I C L E    S Y S T E M S *

*                                      Important Dates: *
                 Manuscript submission:         August 31, 2010
                 Final manuscripts due:      December 31, 2010
                 Publication date:                            April, 2011
 
We invite you to submit your manuscripts. The objective of this special 
issue is to provide a comprehensive overview of theoretical and 
practical aspects as well as collate and disseminate the 
state-of-the-science research results on vision based solutions for car 
navigation systems. In this context, high quality contributions are 
solicited on, but not restricted to, the following topics:
 
. Multi-modal and multi-camera data acquisition and fusion for car 
navigation
. Segmentation of traffic scenes
. Vehicle camera motion estimation and calibration
. Traffic sign, lane, pedestrian, point-of-interest detection
. Detection of traffic agents like pedestrians and cars
. Detection of street objects including traffic signs, stop lights, 
polls, etc
. Detection of lane and street markings, and OCR for signs
. Dynamic models and tracking
. Multi-class and context-dependent classifiers
. Traffic event recognition, driver status detection, collision warning
. Real-time and memory-constrained methods
. City modeling for navigation, visualization and rendering of virtual 
traffic scenes
. Automatic parking, automatic navigation and vision based path planning
. Vehicle-to-vehicle communication for visual information propagation
. Content retrieval in traffic databases
. Distributed processing and online approaches
 
Automated interpretation and navigation in traffic scenes has long been 
in the center of interest for having great impact on the safety and 
comfort of the driver. Thanks to the recent proliferation of GPS enabled 
equipment, which are fitted to about half of all new passenger vehicles, 
such visual perception based solutions became even more essential. In 
addition to route guidance and traffic information, advanced navigation 
systems also provide enhanced driver assistance to maintain a safe 
speed, keep a safe distance, drive within the lane, avoid overtaking in 
critical situations, safely pass intersections, avoid collisions with 
vulnerable road users, and as a last resort, reduce the severity of an 
accident if it still occurs. Yet, automatic detection and recognition of 
such objects and events comes with many challenges. Complex backgrounds, 
low visibility weather conditions, cast shadows, strong headlights, 
direct sunlight during dusk and dawn, uneven street illumination, 
occlusion caused by other vehicles, great variation of traffic 
pictograms are just some of the issues that make these tasks difficult. 
On top of these, constantly streaming video data is required to be 
processed in real-time with often limited hardware resources while 
achieving high accuracy requirements
 
*Guest Editors: *
. Fatih Porikli, MERL, Cambridge, USA, fatih at merl.com 
<mailto:fatih at merl.com>
. Luc Van Gool, ETH, Zurich, Switzerland, vangool at vision.ee.ethz.ch 
<mailto:vangool at vision.ee.ethz.ch>
 
*About MVA
* Machine Vision and Applications journal publishes high-quality 
technical contributions in machine vision and its applications.  For 
applications oriented contributions it is expected they will deal with 
innovative applications of machine vision and will contain in depth 
experimental analysis on real world data sets. Specifically, the editors 
encourage submittals in all applications of image and video related 
computing including but not limited to Biometric analysis, Medical image 
analysis, Robot navigation, Surveillance system and Visual inspection. 
For theoretical contributions it is expected they will make significant 
contribution to the state of art.  All submissions including but not 
limited to  Image registration, Image retrieval, Action recognition, 
Object tracking, Target detection, Video retrieval are encouraged.

-- 
Sincerely,
Fatih Porikli
Senior Principal, MERL
General Chair, IEEE AVSS 2010
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