BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260828T160131Z UID:2F61E998-931D-48AA-AEDC-3F5CF7B6925E DTSTART;TZID=Europe/Amsterdam:20260828T140000 DTEND;TZID=Europe/Amsterdam:20260828T153000 DESCRIPTION:You are cordially invited to join us for the IEEE AESS Distingu ished Lecture on "Automotive Radars Principles" by Prof Igal Bilik. The ev ent is free of charge\, but please kindly register so that we keep an eye on room capacity.\n\nAbstract:\n\nAutonomous driving is one of the automot ive industry's key megatrends\, with most car manufacturers already incorp orating varying levels of autonomy into commercially available vehicles. T he primary task of the sensing suite in autonomous vehicles is to provide the most reliable and dense information about the vehicle's surroundings. To achieve the required sensing performance\, sensors must detect\, locali ze\, and classify a wide range of typical objects\, such as vehicles\, ped estrians\, poles\, and guardrails. Autonomous vehicles are equipped with m ultiple sensors of various modalities: radars\, cameras\, and lidars. Howe ver\, lidars are costly\, cameras are sensitive to illumination and weathe r conditions\, need to be mounted behind optically transparent surfaces\, and lack direct range and velocity measurement capabilities. In contrast\, radars offer robustness to adverse weather conditions\, are unaffected by lighting changes\, provide long-range\, accurate measurements\, and can b e installed behind nontransparent fascia.\n\nThe unique nature of automoti ve radar scenarios requires developing new signal-processing approaches be yond the classical military radar concepts. The redefinition of vehicular radar tasks and new performance demands offer a fertile ground for innovat ive signal processing techniques. This lecture begins by outlining the rad ar performance requirements critical for active safety and autonomous driv ing and the associated challenges. It then reviews current trends in autom otive radar technology and highlights the advantages of radar over other s ensing modalities. The lecture explores propagation phenomena encountered in automotive radar and the radar concepts developed to address them. The radar processing chain will be discussed\, including range and Doppler est imation\, beamforming\, detection\, angle-of-arrival migration\, tracking\ , and clustering. MIMO and cognitive radar approaches for automotive appli cations will be covered\, followed by radar interference mitigation and se nsor fusion discussions. Finally\, open research questions are presented t o inspire future developments in the field.\n\nMachinehal\, Vakwerkhaus\, Professor Snijdersstraat 2\, Delft\, Zuid-Holland\, Netherlands\, 2628RA LOCATION:Machinehal\, Vakwerkhaus\, Professor Snijdersstraat 2\, Delft\, Zu id-Holland\, Netherlands\, 2628RA ORGANIZER:f.fioranelli@tudelft.nl SEQUENCE:15 SUMMARY:Automotive Radars Principles - IEEE AESS Distinguished Lecture by P rof Igal Bilik URL;VALUE=URI:https://events.vtools.ieee.org/m/562214 X-ALT-DESC:Description: <br /><p>You are cordially invited to join us for t he IEEE AESS Distinguished Lecture on "<em>Automotive Radars Principles</e m>" by Prof Igal Bilik. The event is free of charge\, but please kindly re gister so that we keep an eye on room capacity.<br><br><br><strong>Abstrac t:&nbsp\;</strong></p>\n<p class="MsoNormal" style="text-align: justify\;" ><span style="font-size: 11.0pt\; font-family: 'Calibri'\,sans-serif\; mso -fareast-font-family: 'Times New Roman'\; color: black\;">Autonomous drivi ng is one of the automotive industry's key megatrends\, with most car manu facturers already incorporating varying levels of autonomy into commercial ly available vehicles. The primary task of the sensing suite in autonomous vehicles is to provide the most reliable and dense information about the vehicle's surroundings. To achieve the required sensing performance\, sens ors must detect\, localize\, and classify a wide range of typical objects\ , such as vehicles\, pedestrians\, poles\, and guardrails. Autonomous vehi cles are equipped with multiple sensors of various modalities: radars\, ca meras\, and lidars. However\, lidars are costly\, cameras are sensitive to illumination and weather conditions\, need to be mounted behind optically transparent surfaces\, and lack direct range and velocity measurement cap abilities. In contrast\, radars offer robustness to adverse weather condit ions\, are unaffected by lighting changes\, provide long-range\, accurate measurements\, and can be installed behind nontransparent fascia.</span></ p>\n<p class="MsoNormal" style="text-align: justify\;"><span style="font-s ize: 11.0pt\; font-family: 'Calibri'\,sans-serif\; mso-fareast-font-family : 'Times New Roman'\; color: black\;">The unique nature of automotive rada r scenarios requires developing new signal-processing approaches beyond th e classical military radar concepts. The redefinition of vehicular radar t asks and new performance demands offer a fertile ground for innovative sig nal processing techniques. </span><span style="font-size: 11.0pt\; font-fa mily: 'Calibri'\,sans-serif\; mso-fareast-font-family: 'Times New Roman'\; color: black\;">This lecture begins by outlining the radar performance re quirements critical for active safety and autonomous driving and the assoc iated challenges. It then reviews current trends in automotive radar techn ology and highlights the advantages of radar over other sensing modalities . The lecture explores propagation phenomena encountered in automotive rad ar and the radar concepts developed to address them. The radar processing chain will be discussed\, including range and Doppler estimation\, beamfor ming\, detection\, angle-of-arrival migration\, tracking\, and clustering. MIMO and cognitive radar approaches for automotive applications will be c overed\, followed by radar interference mitigation and sensor fusion discu ssions. Finally\, open research questions are presented to inspire future developments in the field.</span></p> END:VEVENT END:VCALENDAR