Some map matching algorithms for personal navigation assistants

By C. E. White, Dave Bernstein, Alain L. Kornhauser. 2000

694 citations recorded by the source corpus.

How researchers see this paper

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

Hidden Markov map matching through noise and sparseness (2009, methodology): “As an example, White et al. [16] present four algorithms, starting with the simple, nearest match scheme.”
The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data (2011, result): “This is similar to the model in [15] and [44].”
A general map matching algorithm for transport telematics applications (2003, methodology): “A formal definition of MM can be found in Bernstein and Kornhauser (1996), White et al. (2000) and Greenfeld (2002).”
Sensor-Based Assistive Devices for Visually-Impaired People: Current Status, Challenges, and Future Directions (2017, background): “Ranges that are covered by ultra-sonic sensors [20].”
MATCHING GPS OBSERVATIONS TO LOCATIONS ON A DIGITAL MAP (2002, background): “Finally, conclusions and possible future research directions are outlined. PROBLEM STATEMENT (FOLLOWING ( 1 ))”
Review of GPS Travel Survey and GPS Data-Processing Methods (2014, background): “White, Bernstein, and Kornhauser (2000) discuss some simple map-matching algorithms to match inaccurate locational data with an inaccurate map/network.”