This paper investigates software architectures and path prediction techniques for Vehicle-to-Vehicle (V2V) cooperative systems. It proposes how software architectures should be constructed to enable the greatest flexibility for different cooperative driving applications while leveraging the full advantage of wireless communications. The applications may be designed for safety, mobility, or comfort objectives and incorporate autonomous behaviors available with non-communication-based sensing. The paper elaborates on the fundamental element of environment mapping, which includes vehicular path histories, vehicular path predictions, and target classifications. Within vehicular path prediction, the paper focuses on parametric and non-parametric path prediction approaches and illustrates the advantages and disadvantages of various existing methods.
Hierarchical Software Architectures and Vehicular Path Prediction for Cooperative Driving Applications
2008-10-01
214378 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Cooperative Path Prediction in Vehicular Environments
IEEE | 2008
|An Advanced Cooperative Path Prediction Algorithm for Safety Applications in Vehicular Networks
Online Contents | 2011
|Cooperative Vehicular Safety Applications
Wiley | 2010
|