Advisory warnings based on cooperative perception
- The Ko-PER (cooperative perception) research project aims at improvements of active traffic safety through cooperative perception systems. Within the project a prototype of a cooperative warning system was realized. This system provides early advisory warnings which are especially useful in critical situations with occluded conflict partners. The development process was accompanied by a series of driving simulator studies to determine both the potential to reduce traffic conflicts and important design characteristics of early advisory warning signals. The most important details of the prototype system's components inter-vehicle information-fusion and situation analysis are described and the achieved warning timings are compared to the results of the driving simulator studies.
Author: | Florian Seeliger, Galia WeidlORCiD, Dominik Petrich, Frederik Naujoks, Gabi Breuel, Alexandra Neukum, Klaus Dietmayer |
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URL: | https://www.researchgate.net/publication/264732322_Advisory_warnings_based_on_cooperative_perception#fullTextFileContent |
DOI: | https://doi.org/10.1109/IVS.2014.6856479 |
Parent Title (German): | IEEE Intelligent Vehicles Symposium Proceedings, June 2014 |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2014 |
Release Date: | 2023/12/07 |
Tag: | Artificial Intelligence; ITS (Intelligent Transportation Systems) |
GND Keyword: | Fahrerassistenzsystem |
Urheberrecht: | 1 |
Institutes: | Einrichtungen / Kompetenzzentrum Künstliche Intelligenz |
research focus : | Intelligent Systems / Artifical Intelligence and Data Science |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |