Name
Title | ||
|---|---|---|
CONVINCE: a cross-layer modeling, exploration and validation framework for next-generation connected vehicles. |
Abstract | ||
|---|---|---|
Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications involve multiple layers, from V2V/V2I communication networks down to software and hardware of individual vehicles, and concern with stringent requirements on multiple metrics such as timing, security, reliability and fault tolerance. To cope with these challenges, we have been developing CONVINCE, a cross-layer modeling, exploration and validation framework for connected vehicles. The framework includes mathematical models, synthesis and validation algorithms, and a heterogeneous simulator for inter-vehicle communications and intra-vehicle software and hardware in a holistic environment. It explores various design options with respect to constraints and objectives on system safety, security, reliability, cost, etc. A V2V application is used in the case study to demonstrate the effectiveness of the proposed framework. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2966986.2980078 | ICCAD |
Keywords | Field | DocType |
cross-layer modeling exploration and validation framework,next-generation connected vehicle,CONVINCE framework,next-generation autonomous vehicles,next-generation semiautonomous vehicles,vehicle-to-vehicle applications,vehicle-to-infrastructure applications,V2I communication network,holistic environment,V2V communication network | Cross layer,Telecommunications network,System safety,Systems engineering,Computer science,Fault tolerance,Software,Mathematical model,Vehicle safety,Precept | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-5090-3421-5 | 3 |
PageRank | References | Authors |
0.42 | 29 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bowen Zheng | 1 | 53 | 4.99 |
| Chung-Wei Lin | 2 | 43 | 11.64 |
| Huafeng Yu | 3 | 11 | 2.59 |
| Hengyi Liang | 4 | 11 | 4.35 |
| Qi Zhu | 5 | 727 | 60.59 |