
For automated driving high-integrity localization information is essential. Often sensor fusion algorithms are used to fulfill this task. In this work three implementations of integrity concepts for such algorithms used in automated driving are compared. Therefore, requirements for sensor fusion algorithms used for automated driving functions of a prototype vehicle in a German research project are derived. Known integrity concepts are reviewed. A selection of three concepts that include the computation of protection levels is implemented. They are evaluated using a set of measurement data obtained for our loosely coupled GNSS/INS/Odometry fusion algorithm. With the chosen set of tuning parameters, all implemented protection levels bound the horizontal position error in the given measurements according to the specified integrity risk.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
