Name
Title | ||
|---|---|---|
High-Accuracy Vehicle Position Estimation Using A Cooperative Algorithm With Anchors And Probe Vehicles |
Abstract | ||
|---|---|---|
This paper describes a method for achieving highway lane differentiation without requiring expensive global navigation receivers in every vehicle. Accurate lane identification can be used to optimize transportation network safety, by improving a vehicle's ability to avoid collision and to safely complete lane-change maneuvers. Using a cooperative technique, each vehicle communicates with road infrastructure and nearby connected vehicles to achieve sub-meter lane identification. We assume that a small subset of vehicles have high-accuracy GPS localization, which we refer to as probe vehicles. Other vehicles use location information from the probe vehicles and fixed infrastructure anchors to improve their position estimates. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 49TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | Flow network,Computer science,Simulation,Collision,Real-time computing,Electronic engineering,Global Positioning System |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramez L. Gerges | 1 | 0 | 0.68 |
| John J. Shynk | 2 | 14 | 10.72 |
| Suk-seung Hwang | 3 | 15 | 12.60 |