body: <record xmlns="http://www.openarchives.org/OAI/2.0/">
                          <header>
                              <identifier>oai:research.chalmers.se:508075</identifier>
                              <datestamp>2019-01-18T14:43:53Z</datestamp>
                              <setSpec>openaire</setSpec>
                          </header>
                          <metadata>
                              <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
                                  <dc:title>A Solution for Removing Automotive Radar Interference: Radar Communications</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/508075</dc:identifier>
                                  <dc:date>2018</dc:date>
                                              <dc:creator>Aydogdu, Canan</dc:creator>
                                              <dc:creator>Garcia, Nil</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                                  <dc:subject>Other Engineering and Technologies not elsewhere specified</dc:subject>
                                                  <dc:subject>Infrastructure Engineering</dc:subject>
                                                  <dc:subject>Vehicle Engineering</dc:subject>
                                              <dc:subject>radar communication</dc:subject>
                                              <dc:subject>MAC</dc:subject>
                                              <dc:subject>automotive radar</dc:subject>
                                              <dc:subject>radar interference</dc:subject>
                                          <dc:description>Automotive radar is becoming an indispensable equipment in modern cars, for different functions including lane keeping, speed control and parking, especially due to its immunity to bad weather conditions [1]. Likewise, vehicle-to-vehicle (V2V) communication is on the way to become a standard, having proven its value in dissemination of safety critical information [2]. However, the widespread use of both technologies lead to problems, cutting short future plans for autonomous driving and safety. Increased penetration rate and density of automotive radars lead to increased mutual interference, which in turn result with reduced detection probability and ghost detections [3]. Similarly, Omni-directional V2V communication transmissions result in high interference with an increased number of vehicles [4]. This interference leads to packet losses, especially in emergency situations when many vehicles emit warning messages, in turn affecting system-wide safety.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/745706//A High-Sensitive Green Localization System for High-Speed Self-Driving Vehicles (GREENLOC)/</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>Swedish Transportation Research Conference</dc:source>
                                                      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:language>eng</dc:language>
                                  <dc:audience>Researchers</dc:audience>
                                  <dc:format>application/pdf</dc:format>
                              </oai_dc:dc>
                          </metadata>
                      </record>