@article {12493,
	title = {A Learning Approach Towards Detection and Tracking of Lane Markings},
	journal = {IEEE Transactions on Intelligent Transportation Systems},
	volume = {PP},
	year = {2010},
	month = {2010/02/17/},
	pages = {1 - 12},
	abstract = {Road scene analysis is a challenging problem that has applications in autonomous navigation of vehicles. An integral component of this system is the robust detection and tracking of lane markings. It is a hard problem primarily due to large appearance variations in lane markings caused by factors such as occlusion (traffic on the road), shadows (from objects like trees), and changing lighting conditions of the scene (transition from day to night). In this paper, we address these issues through a learning-based approach using visual inputs from a camera mounted in front of a vehicle. We propose the following: 1) a pixel-hierarchy feature descriptor to model the contextual information shared by lane markings with the surrounding road region; 2) a robust boosting algorithm to select relevant contextual features for detecting lane markings; and 3) particle filters to track the lane markings, without knowledge of vehicle speed, by assuming the lane markings to be static through the video sequence and then learning the possible road scene variations from the statistics of tracked model parameters. We investigate the effectiveness of our algorithm on challenging daylight and night-time road video sequences.},
	keywords = {Boosting, Context, Context modeling, Feature extraction, lane marking detection, outlier robustness, Roads, tracking and learning, Training, Vehicles},
	isbn = {1524-9050},
	doi = {10.1109/TITS.2012.2184756},
	author = {Gopalan,R. and Hong, T. and Shneier, M. and Chellapa, Rama}
}
@conference {19045,
	title = {TACKing Together Efficient Authentication, Revocation, and Privacy in VANETs},
	year = {2009},
	month = {2009},
	pages = {1 - 9},
	abstract = {Vehicular ad hoc networks (VANETs) require a mechanism to help authenticate messages, identify valid vehicles, and remove malevolent vehicles. A public key infrastructure (PKI) can provide this functionality using certificates and fixed public keys. However, fixed keys allow an eavesdropper to associate a key with a vehicle and a location, violating drivers{\textquoteright} privacy. In this work we propose a VANET key management scheme based on temporary anonymous certified keys (TACKs). Our scheme efficiently prevents eavesdroppers from linking a vehicle{\textquoteright}s different keys and provides timely revocation of misbehaving participants while maintaining the same or less overhead for vehicle-to-vehicle communication as the current IEEE 1609.2 standard for VANET security.},
	keywords = {ad hoc networks, data privacy, eavesdropper, IEEE 1609.2 standard, Message authentication, mobile radio, public key cryptography, public key infrastructure, remove malevolent vehicle, telecommunication security, temporary anonymous certified key, valid vehicle identification, VANET key management, VANET security, vehicle-to-vehicle communication, Vehicles, vehicular ad hoc network},
	author = {Studer, A. and Elaine Shi and Bai, Fan and Perrig, A.}
}
@conference {14755,
	title = {Verified Enforcement of Security Policies for Cross-Domain Information Flows},
	booktitle = {IEEE Military Communications Conference, 2007. MILCOM 2007},
	year = {2007},
	month = {2007/10/29/31},
	pages = {1 - 7},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We describe work in progress that uses program analysis to show that security-critical programs, such as cross-domain guards, correctly enforce cross-domain security policies. We are enhancing existing techniques from the field of Security-oriented Programming Languages to construct a new language for the construction of secure networked applications, SELINKS. In order to specify and enforce expressive and fine-grained policies, we advocate dynamically associating security labels with sensitive entities. Programs written in SELINKS are statically guaranteed to correctly manipulate an entity{\textquoteright}s security labels and to ensure that the appropriate policy checks mediate all operations that are performed on the entity. We discuss the design of our main case study : a web-based Collaborative Planning Application that will permit a collection of users, with varying security requirements and clearances, to access sensitive data sources and collaboratively create documents based on these sources.},
	keywords = {Collaboration, Computer languages, Data security, Educational institutions, Government, Information analysis, Information filtering, Information filters, Information security, Vehicles},
	isbn = {978-1-4244-1513-7},
	doi = {10.1109/MILCOM.2007.4455189},
	author = {Swamy,Nikhil and Hicks, Michael W. and Tsang,Simon}
}
@conference {18311,
	title = {Estimation of composite object and camera image motion},
	booktitle = {The Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999},
	volume = {1},
	year = {1999},
	month = {1999///},
	pages = {190-197 vol.1 - 190-197 vol.1},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {An approach for estimating composite independent object and camera image motions is proposed. The approach employs spatio-temporal flow models learned through observing typical movements of the object, to decompose image motion into independent object and camera motions. The spatio-temporal flow models of the object motion are represented as a set of orthogonal flow bases that are learned using principal component analysis of instantaneous flow measurements from a stationary camera. These models are then employed in scenes with a moving camera to extract motion trajectories relative to those learned. The performance of the algorithm is demonstrated on several image sequences of rigid and articulated bodies in motion},
	keywords = {articulated bodies, camera image motion, camera image motions, CAMERAS, composite independent object, composite object estimation, Computer vision, Educational institutions, Image sequences, instantaneous flow measurements, Laboratories, Layout, Motion analysis, Motion estimation, motion trajectories, orthogonal flow bases, Principal component analysis, spatio-temporal flow models, tracking, Vehicles},
	isbn = {0-7695-0164-8},
	doi = {10.1109/ICCV.1999.791217},
	author = {Yacoob,Yaser and Davis, Larry S.}
}
