On May 27, 2010, the Southern California Chapter of the ION held a meeting, hosted by NavCom in Torrance, CA. The meeting included a presentation from Professor Jay Farrell and Ms. Anning Chen entitled “Technologies for Vehicle Lane-Level Positioning”. 34 25 people were in attendance for the meeting. A short biography and abstract of the meeting follows, and the slides used during the meeting are attached.
Capsule Biographies of our Speakers:
Anning Chen received B.S. and M.S. degree in control science and engineering from Zhejiang University, China. She is now a Ph.D. candidate in the Department of Electrical Engineering at University of California, Riverside. Her research interest includes carrier-phase GPS aided INS navigation and vehicle guidance system.
J. A. Farrell received B.S. degrees in physics and electrical engineering from Iowa State University, and M.S. and Ph.D. degrees in electrical engineering from the University of Notre Dame. At Charles Stark Draper Lab (1989-1994), he was principal investigator on projects involving autonomous vehicles. Dr. Farrell received the Engineering Vice President’s Best Technical Publication Award in 1990 and Recognition Awards for Outstanding Performance and Achievement in 1991 and 1993. He is a Professor and former Chair of the Department of Electrical Engineering at the University of California, Riverside. He has served as Vice President of Finance and Vice President of Technical Activities for the IEEE Control Systems Society. He is a Fellow of the IEEE (2008), a Distinguished Member of the IEEE Control Systems Society, was recognized by GPS World as a GNSS Leader to Watch in 2010, and is author of over 160 technical publications. He is author of the book “Aided Navigation: GPS with High Rate Sensors” (McGraw-Hill 2008). He is also co-author of the books “The Global Positioning System and Inertial Navigation” (McGraw-Hill, 1998) and “Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches” (John Wiley 2006).
Abstract of presentation:
Slides: Slides: High-precision lane-level road map building for vehicle navigation
Slides: Slides: Intelligent Autonomous Vehicles
The United States Department of Transportation has initiated efforts to conduct field tests and deployment of the Transit Vehicle Assist and Automation (VAA) program. Various VAA applications incorporate lane-relative vehicle navigation and control requiring accurate lane-relative positioning of the vehicle. Alternative approaches will be reviewed. In the approach that is the focus of this presentation; lane-relative position is computed by comparing the vehicle absolute position with analytic roadway maps. This approach requires both high-accuracy positioning of the vehicle and high-accuracy lane-level maps. Anning Chen’s portion of the presentation will discuss the structure of lane-level maps that are compatible with standard practices of GIS road modeling. She will present a method to build and refine lane-level maps from high-accuracy positioning data along the lane center. Professor Farrell’s portion of the presentation will discuss possible approaches for aided vehicle navigation within the VAA program.