Name
Title | ||
|---|---|---|
Probabilistic Modeling Of Sensor Properties In Generic Fusion Systems For Modern Driver Assistance Systems |
Abstract | ||
|---|---|---|
Modern driver assistance and safety systems need a reliable and precise description of the environment. Fusing the measurement data of two or more sensors can improve the performance of the perception system. A generic fusion system which is independent of the attached sensors could be reused in multiple fusion systems and sensor combinations. This could be very helpful because sensor data fusion is a demanding and complex task. In this contribution, we present the algorithmic basics for a generic fusion system, detailed ways on how to model sensor specific properties and which benefits we can achieve by using these models. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IVS.2010.5548040 | 2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) |
Keywords | Field | DocType |
hardware,uncertainty,sensor fusion,probability,kernel,probabilistic logic,probabilistic model,measurement uncertainty,safety systems | Kernel (linear algebra),Object detection,System safety,Soft sensor,Advanced driver assistance systems,Measurement uncertainty,Control engineering,Sensor fusion,Probabilistic logic,Engineering | Conference |
ISSN | Citations | PageRank |
1931-0587 | 4 | 0.73 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Munz | 1 | 31 | 3.10 |
| Mirko Mählisch | 2 | 64 | 6.66 |
| Jürgen Dickmann | 3 | 83 | 14.07 |
| Klaus Dietmayer | 4 | 822 | 102.64 |