Enhanced Automotive Target Detection through Radar and Communications Sensor Fusion

Autor:	Kumar Vijay Mishra, Bhavani Shankar Mysore, Sayed Hossein Dokhanchi, Bjorn Ottersten
Rok vydání:	2021
Předmět:	Scheme (programming language) business.industry Computer science Real-time computing Automotive industry Radar detection Sensor fusion Object detection law.invention Speech enhancement Sensor fusion algorithm law Radar business computer computer.programming_language
Zdroj:	ICASSP
DOI:	10.1109/icassp39728.2021.9415051
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7b16324ee76e6ce71972df5a1cc473f4 https://doi.org/10.1109/icassp39728.2021.9415051 Zobrazit plný text záznamu