A New Methodology for 3D Target Detection in Automotive Radar Applications


== Abstract ==

Today there is a growing interest in automotive sensor monitoring systems. One of the main challenges is to make them an effective and valuable aid in dangerous situations, improving transportation safety. The main limitation of visual aid systems is that they do not produce accurate results in critical visibility conditions, such as in presence of rain, fog or smoke. Radar systems can greatly help in overcoming such limitations. In particular, imaging radar is gaining interest in the framework of Driver Assistance Systems (DAS). In this manuscript, a new methodology able to reconstruct the 3D imaged scene and to detect the presence of multiple targets within each line of sight is proposed. The technique is based on the use of Compressive Sensing (CS) theory and produces the estimation of multiple targets for each line of sight, their range distance and their reflectivities. Moreover, a fast approach for 2D focus based on the FFT algorithm is proposed. After the description of the proposed methodology, different simulated case studies are reported in order to evaluate the performances of the proposed approach.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_520677497-beopen617-1661-document.pdf</pdf>


== Original document ==

The different versions of the original document can be found in:

* [http://europepmc.org/articles/PMC4883305 http://europepmc.org/articles/PMC4883305] under the license https://creativecommons.org/licenses/by

* [http://hdl.handle.net/11367/52839 http://hdl.handle.net/11367/52839]

* [https://dx.doi.org/10.3390/s16050614 https://dx.doi.org/10.3390/s16050614]

* [https://www.mdpi.com/1424-8220/16/5/614/pdf https://www.mdpi.com/1424-8220/16/5/614/pdf]

* [http://www.mdpi.com/1424-8220/16/5/614 http://www.mdpi.com/1424-8220/16/5/614],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/16/5/614/pdf http://www.mdpi.com/1424-8220/16/5/614/pdf],
: [http://dx.doi.org/10.3390/s16050614 http://dx.doi.org/10.3390/s16050614]

* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883305 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883305],
: [https://dblp.uni-trier.de/db/journals/sensors/sensors16.html#BaseliceFLMPS16 https://dblp.uni-trier.de/db/journals/sensors/sensors16.html#BaseliceFLMPS16],
: [https://www.mdpi.com/1424-8220/16/5/614/pdf https://www.mdpi.com/1424-8220/16/5/614/pdf],
: [https://www.mdpi.com/1424-8220/16/5/614 https://www.mdpi.com/1424-8220/16/5/614],
: [https://core.ac.uk/display/90325245 https://core.ac.uk/display/90325245],
: [https://trid.trb.org/view/1414751 https://trid.trb.org/view/1414751],
: [https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_519887_34 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_519887_34],
: [https://academic.microsoft.com/#/detail/2342467964 https://academic.microsoft.com/#/detail/2342467964] under the license https://creativecommons.org/licenses/by/4.0/