Name
Title | ||
|---|---|---|
Stochastic situation assessment in advanced driver assistance system for complex multi-objects traffic situations |
Abstract | ||
|---|---|---|
This paper presents a novel stochastic approach for criticality assessment in advanced driver assistance systems (ADAS). Modern assistance system rely on multiple information sources (e.g. radars, image processing) which provide data with a relative accuracy. As a consequence, criticality assessment for future ADAS tend to use stochastic methods instead of deterministic ones in order to consider such uncertainties. Our new method estimates the collision probability and also the Time-To-Collision (TTC) probability distribution for more robust and real-time decision making. The presented method is able to handle complex traffic situations with any number of traffic participants and abritrary trajectories. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IROS.2012.6385585 | Intelligent Robots and Systems |
Keywords | Field | DocType |
decision making,driver information systems,information resources,statistical distributions,stochastic processes,ADAS,TTC probability distribution,advanced driver assistance system,complex multi-objects traffic situations,modern assistance system,multiple information sources,real-time decision making,stochastic situation assessment,time-to-collision probability distribution | Advanced driver,Computer science,Advanced driver assistance systems,Collision probability,Image processing,Operations research,Stochastic process,Situation analysis,Probability distribution,Criticality | Conference |
ISSN | ISBN | Citations |
2153-0858 | 978-1-4673-1737-5 | 7 |
PageRank | References | Authors |
0.61 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Berthelot | 1 | 7 | 0.95 |
| Andreas Tamke | 2 | 39 | 2.75 |
| Thao Dang | 3 | 1722 | 115.80 |
| Gabi Breuel | 4 | 102 | 9.21 |