In-Car Positioning and Navigation Technologies—A Survey

By Isaac Skog, Peter Handel. IEEE transactions on intelligent transportation systems (Print), 2009

572 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/c564c35b9efa0ff175ebfd23ae93dfca05c790a1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. José Carlos Prieto
2. Francis Mccullough
3. A. Mouzakitis
4. Mehrdad Dianati
5. Jorge I. Guevara Rosas
6. Fernando Seco Granja
7. Saber Fallah
8. Antonio Ramón Jiménez Ruiz

In Artificial Intelligence

1. A. Mouzakitis
2. Mehrdad Dianati
3. Saber Fallah
4. Sampo Kuutti

Citations in the corpus

• A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications (2018, methodology): “This correction is then broadcasted to the on-board vehicle GPS units to adjust their own GPS estimate to achieve an average accuracy in the range of 1–2 m [19].”
• Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “6 1.3 Tutorial content and its outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7”
• Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements (2012, background): “This PDR+LPS integrated concept, as already implemented in many outdoor applications fusing INS and GPS [19], has the potential to provide an accurate drift-free positioning solution.”