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CTS Events
SEMINAR
November 14, 2012 Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO
SEMINAR
November 7, 2012 Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.
SEMINAR
October 24, 2012 Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.
CTS Happenings
September 25, 2012
Award Received by Joshua Auld, CTS-IGERT alumnus.
April 20, 2012
Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.
January 2, 2012
James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011
July 30, 2010
Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).
July 1, 2011
Piotr Szczurek, CTS Fellow and CS PhD candidate, will present a seminar entitled "Forwards: A Map-Free Intersection Collision-Warning System for All Road Patterns" at 2:30 p.m. in Room 1000 SEO. Collision warning is one of the most important functions of a vehicle safety system. The emergence and expansion of the applications of positioning techniques and dedicated shortrange communication (DSRC) have promoted the collision warning system evolution from a simple ranging-sensor-based system to a cooperative system. Differing from prior work that relied heavily on the e-Map, high-accuracy differential Global Positioning System (DGPS), or advanced car features like the controller area network (CAN) bus, this paper proposes Forwards, i.e., a map-free intersection collision-warning system for all road patterns with lower requirement and lower cost accessories. Forwards employs a triple Kalman filter (tri-KF)-based estimator that integrates GPS and external inertial sensor measurement to provide calibrated motion state information (MSI) such as position, velocity, and acceleration of the vehicle. Each vehicle then adaptively broadcasts its own MSI via the DSRC-based protocol. Using the steady-state maneuvering model, short-term trajectories of local and neighboring vehicles are further predicted, based on their current MSI. Collision-detection algorithms are then designed based on the model of finding the minimum distance of vehicles' future trajectories, and hierarchical warnings are given upon different criteria. Simulation results show that our approach outperforms the referenced approach in successful warning ratio and requires far fewer accessories and external conditions than the other referenced approaches. Reference: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 59, NO. 7, SEPTEMBER 2010 by Lai Tu and Chung-Ming Huang |
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