Abstract
Two integrated positioning algorithms for transport telematics applications and services are discussed. The first is an extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second elaborates the first one by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The results demonstrate a 90% coverage in a typical built up environment over a 4-hour duration for a stand alone GPS employing a single frequency high sensitivity receiver/antenna assembly.
| Original language | English (US) |
|---|---|
| Pages | 692-705 |
| Number of pages | 14 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004 - Long Beach, CA, United States Duration: Sep 21 2004 → Sep 24 2004 |
Other
| Other | 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004 |
|---|---|
| Country/Territory | United States |
| City | Long Beach, CA |
| Period | 9/21/04 → 9/24/04 |
All Science Journal Classification (ASJC) codes
- Engineering(all)