Name
Abstract | ||
|---|---|---|
Self-driving cars typically rely on a set of radars for mapping the environment to avoid obstacles and operate safely. Currently, the radar parameters are uncoordinated and can interfere with each other. This results in inefficient use of the spectrum and, more importantly, in dangerous blinding of the radars especially in dense urban settings, posing a barrier to widespread deployment of self-driving cars. We present RadarMAC - the first system architecture and dynamic radar parameter assignment algorithms for radar interference mitigation in self-driving cars. We characterize the degrees of freedom for vehicular radar parameters, and model the channel parameter assignment problem as one of dynamically coloring the corresponding time-varying interference graph. RadarMAC guarantees interference-free radar operations within a defined capacity region. Using extensive simulations, we demonstrate that RadarMAC significantly outperforms the state-of-the-art random assignment scheme commonly used today with off-the-shelf radars in terms of safety and spectrum efficiency metrics in both dense and sparse settings. Finally, we identify a set of research challenges in medium access control for vehicular radars. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SAHCN.2016.7733011 | 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) |
Keywords | Field | DocType |
RadarMAC,radar interference mitigation,self-driving car,obstacle avoidance,dynamic radar parameter assignment algorithm,vehicular radar parameter,degrees of freedom,channel parameter assignment problem,interference-free radar operation,state-of-the-art random assignment scheme,time-varying interference graph coloring,medium access control | Radar,Radar engineering details,Radar tracker,Simulation,Computer science,Air traffic control radar beacon system,Man-portable radar,Real-time computing,Low probability of intercept radar,Fire-control radar,Procedural control,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-1733-1 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joud Khoury | 1 | 17 | 5.43 |
| R. Ramanathan | 2 | 2339 | 326.82 |
| Dan McCloskey | 3 | 0 | 0.34 |
| Russell Smith | 4 | 0 | 0.34 |
| Timothy Campbell | 5 | 0 | 0.34 |