| Paper ID | SS-12.4 |
| Paper Title |
Enhanced Automotive Target Detection through Radar and Communications Sensor Fusion |
| Authors |
Sayed Hossein Dokhanchi, Bhavani Shankar Mysore R., Kumar Vijay Mishra, Bjorn Ottersten, University of Luxembourg, Luxembourg |
| Session | SS-12: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation |
Poster
|
| Topic |
Special Sessions: Recent Advances in mmWave Radar Sensing for Autonomous Vehicles |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
This paper shows the enhancement in detection performance in an automotive scenario by leveraging the backscattered communication signals from vehicles at the target scene. A sensor fusion algorithm is proposed to benefit from the information from radar and communication to improve the final range estimates. We demonstrate theoretically and illustrate through simulation that our proposed scheme enhances the radar detection performance. Thus the proposed scheme offers a solution for augmenting existing sensing capabilities to enhance detecting capabilities in a dynamic automotive scenario. |
