Vehicle-to-Vehicle Network Based Collaborative Navigation System.
Xiao, Xuan.
2011
-
Abstract: This research
develops a Vehicle-Based Augmentation System (VBAS) for GPS that has the capabilities of
Ground-Based Augmentation Systems (GBAS) but without fixed ground reference stations.
The proposed system targets low-cost automotive applications. Existing augmented GPS
systems which can provide centimeters level of accuracy are not suitable for automotive
applications due to ... read moretheir high infrastructural cost (e.g. one reference station is
needed at approximately every 20 km for GBAS). In contrast, by setting up a
vehicle-to-vehicle (V2V) network, the proposed system can improve positioning accuracy
simply by sharing measurement data among vehicles in the network. The cost of
"infrastructure upgrade" will essentially be free, since V2V communication equipment and
GPS receivers are expected to become standard equipment on automobiles in the near
future. With assistance of such system, the expected accuracy of GPS could reach the
20-centimeter level, which is critical for automotive applications such as automated
driving, automated lane keeping, and highway collision avoidance. To build this system,
a new algorithm for differentiating GPS measurements will be investigated. A
vehicle-to-vehicle (V2V) network-based collaborative navigating method will also be
tested to enable the new algorithm. Simulations, as well as a physical test system will
be set up to demonstrate the capabilities of the new
algorithm.
Thesis (M.S.)--Tufts University, 2011.
Submitted to the Dept. of Mechanical Engineering.
Advisor: Jason Rife.
Committee: Robert Greif, and Douglas Preis.
Keyword: Mechanical engineering.read less - ID:
- 1544c1330
- Component ID:
- tufts:21054
- To Cite:
- TARC Citation Guide EndNote
