Datafusioninmulti Sensorplatforms Forwide- Areaperception

thereisa strongbelief thattheimprovement of preventive safetyapplications and theextension of their operative rangewillbeachieved bythedeployment ofmultiple sensors withwidefields ofview(FOV). Thepapercontributes to thesolution oftheproblemandintroduces distributed sensor datafusionarchitectures- and algorithms foran efficient deployment of multiple sensorsthatgiveredundantor complementary information forthemovingobjects. The proposed fusion architecture isbasedona modularapproach allowing exchangeability andbenchmarking using theoutputof individual trackers, whereas thefusion algorithm gives asolution tothetrackmanagementproblemandthecoverage ofwide perception areas.The testcaseisLATERAL SAFE sensor configuration, whichmonitors therearandlateral areasofthe vehicle. Results showthatwiththegiven approach thesystem is abletomaintain theID ofallobjects intransition (anobject enters asensor's FOV)andblind areas(nosensorcoverage). IndexTermsDataFusion, Dataassociation, ADAS,lane change, lateral collision warning