BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Jerusalem BEGIN:DAYLIGHT DTSTART:20250328T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=-1FR;BYMONTH=3 TZNAME:IDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T010000 TZOFFSETFROM:+0300 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250616T163632Z UID:28FA7AAC-606C-4929-9151-9EF6FE454856 DTSTART;TZID=Asia/Jerusalem:20250515T110000 DTEND;TZID=Asia/Jerusalem:20250515T120000 DESCRIPTION:This lecture addresses one of the hottest technological debates in the modern automobile industry: selecting radar or LiDAR technologies for autonomous and active safety-equipped vehicles. The lecture presents a structured comparison of the two technologies\, focusing on their distinc t operational characteristics\, advantages\, and limitations. Radar and Li DAR operate at different frequency bands\, which leads to significant diff erences in how they interact with the environment. Radar is favored for it s robustness in adverse weather and low-light conditions\, providing long- range detection at a relatively low cost. It also allows for flexible inte gration behind nontransparent vehicle fascia\, making it highly adaptable for commercial vehicle use. On the other hand\, LiDAR offers superior angu lar resolution and spatiotemporal consistency\, which are critical for tas ks such as object recognition and mapping in autonomous driving.\n\nThis l ecture begins by outlining the core functionalities of radar and lidar sys tems and exploring how their unique physical properties\, such as waveleng th and propagation behaviors\, influence their performance in various driv ing scenarios. Key factors such as range\, accuracy\, detection reliabilit y\, and operational costs will be evaluated\, along with a detailed analys is of signal processing techniques used by each sensor type. Additionally\ , the limitations of LiDAR\, including its higher cost and sensitivity to environmental factors\, will be contrasted with radar's challenges\, such as interference and resolution constraints.\n\nBy highlighting recent adva ncements in both technologies\, including digital radars with high-resolut ion imaging capabilities and efforts to reduce the cost of long-range LiDA R\, this lecture aims to provide a comprehensive understanding of the trad e-offs involved in choosing between radar and LiDAR for different automoti ve applications. Future research directions\, such as the integration of m ulti-sensor systems and potential cross-modality innovations\, will also b e discussed to inspire further developments in autonomous vehicle sensing technologies.\n\nSpeaker(s): \, Igal Bilik\n\nAgenda: \n11:00-11:50 Lectur e\n\n11:50-12:00 QNA\n\nRoom: 11\, Bldg: Kitot Handasa\, Tel Aviv Universi ty\, Tel Aviv\, Central District\, Israel LOCATION:Room: 11\, Bldg: Kitot Handasa\, Tel Aviv University\, Tel Aviv\, Central District\, Israel ORGANIZER:srotman@bgu.ac.il SEQUENCE:22 SUMMARY: Radar or Lidar What to Choose for Automotive Applications URL;VALUE=URI:https://events.vtools.ieee.org/m/484413 X-ALT-DESC:Description: <br /><p>This lecture addresses one of the hottest technological debates in the modern automobile industry: selecting radar o r LiDAR technologies for autonomous and active safety-equipped vehicles. T he lecture presents a structured comparison of the two technologies\, focu sing on their distinct operational characteristics\, advantages\, and limi tations. Radar and LiDAR operate at different frequency bands\, which lead s to significant differences in how they interact with the environment. Ra dar is favored for its robustness in adverse weather and low-light conditi ons\, providing long-range detection at a relatively low cost. It also all ows for flexible integration behind nontransparent vehicle fascia\, making it highly adaptable for commercial vehicle use. On the other hand\, LiDAR offers superior angular resolution and spatiotemporal consistency\, which are critical for tasks such as object recognition and mapping in autonomo us driving.</p>\n<p>This lecture begins by outlining the core functionalit ies of radar and lidar systems and exploring how their unique physical pro perties\, such as wavelength and propagation behaviors\, influence their p erformance in various driving scenarios. Key factors such as range\, accur acy\, detection reliability\, and operational costs will be evaluated\, al ong with a detailed analysis of signal processing techniques used by each sensor type. Additionally\, the limitations of LiDAR\, including its highe r cost and sensitivity to environmental factors\, will be contrasted with radar's challenges\, such as interference and resolution constraints.</p>\ n<p>By highlighting recent advancements in both technologies\, including d igital radars with high-resolution imaging capabilities and efforts to red uce the cost of long-range LiDAR\, this lecture aims to provide a comprehe nsive understanding of the trade-offs involved in choosing between radar a nd LiDAR for different automotive applications. Future research directions \, such as the integration of multi-sensor systems and potential cross-mod ality innovations\, will also be discussed to inspire further developments in autonomous vehicle sensing technologies.</p><br /><br />Agenda: <br /> <p>11:00-11:50 Lecture</p>\n<p>11:50-12:00 QNA</p> END:VEVENT END:VCALENDAR