BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250614T112439Z UID:45141BFB-E791-4755-9123-AFFE243C16DB DTSTART;TZID=Europe/London:20250612T103000 DTEND;TZID=Europe/London:20250612T120000 DESCRIPTION:Abstract\n\nThis lecture addresses one of the hottest technolog ical debates in the modern automobile industry: selecting radar or LiDAR t echnologies for autonomous and active safety-equipped vehicles. The lectur e presents a structured comparison of the two technologies\, focusing on t heir distinct operational characteristics\, advantages\, and limitations. Radar and LiDAR operate at different frequency bands\, which leads to sign ificant differences in how they interact with the environment. Radar is fa vored for its robustness in adverse weather and low-light conditions\, pro viding long-range detection at a relatively low cost. It also allows for f lexible integration behind nontransparent vehicle fascia\, making it highl y adaptable for commercial vehicle use. On the other hand\, LiDAR offers s uperior angular resolution and spatiotemporal consistency\, which are crit ical for tasks such as object recognition and mapping in autonomous drivin g.\nThis lecture begins by outlining the core functionalities of radar and lidar systems and exploring how their unique physical properties\, such a s wavelength and propagation behaviors\, influence their performance in va rious driving scenarios. Key factors such as range\, accuracy\, detection reliability\, and operational costs will be evaluated\, along with a detai led analysis of signal processing techniques used by each sensor type. Add itionally\, the limitations of LiDAR\, including its higher cost and sensi tivity to environmental factors\, will be contrasted with radar's challeng es\, such as interference and resolution constraints.\nBy highlighting rec ent advancements in both technologies\, including digital radars with high -resolution imaging capabilities and efforts to reduce the cost of long-ra nge LiDAR\, this lecture aims to provide a comprehensive understanding of the trade-offs involved in choosing between radar and LiDAR for different automotive applications. Future research directions\, such as the integrat ion of multi-sensor systems and potential cross-modality innovations\, wil l also be discussed to inspire further developments in autonomous vehicle sensing technologies.\n\nCo-sponsored by: Dr Matt Ritchie - University Col lege London\n\nSpeaker(s): Igal Bilik\n\nRoom: G08 Sir David Davies LT\, B ldg: Roberts Building\, TORRINGTON PLACE \, LONDON\, England\, United King dom\, WC1E 7JE\, Virtual: https://events.vtools.ieee.org/m/484729 LOCATION:Room: G08 Sir David Davies LT\, Bldg: Roberts Building\, TORRINGTO N PLACE \, LONDON\, England\, United Kingdom\, WC1E 7JE\, Virtual: https:/ /events.vtools.ieee.org/m/484729 ORGANIZER:julien.lekernec@glasgow.ac.uk SEQUENCE:19 SUMMARY:IEEE AESS Distinguished Lecture - Radar or Lidar What to Choose for Automotive Applications - Dr Igal Bilik URL;VALUE=URI:https://events.vtools.ieee.org/m/484729 X-ALT-DESC:Description: <br /><div class="label field--label">Abstract</div >\n<div class="mx-auto break-words word-wrap prose font-serif">\n<p>This l ecture addresses one of the hottest technological debates in the modern au tomobile industry: selecting radar or LiDAR technologies for autonomous an d active safety-equipped vehicles. The lecture presents a structured compa rison of the two technologies\, focusing on their distinct operational cha racteristics\, advantages\, and limitations. Radar and LiDAR operate at di fferent frequency bands\, which leads to significant differences in how th ey interact with the environment. Radar is favored for its robustness in a dverse weather and low-light conditions\, providing long-range detection a t a relatively low cost. It also allows for flexible integration behind no ntransparent vehicle fascia\, making it highly adaptable for commercial ve hicle use. On the other hand\, LiDAR offers superior angular resolution an d spatiotemporal consistency\, which are critical for tasks such as object recognition and mapping in autonomous driving.<br>This lecture begins by outlining the core functionalities of radar and lidar systems and explorin g how their unique physical properties\, such as wavelength and propagatio n behaviors\, influence their performance in various driving scenarios. Ke y factors such as range\, accuracy\, detection reliability\, and operation al costs will be evaluated\, along with a detailed analysis of signal proc essing techniques used by each sensor type. Additionally\, the limitations of LiDAR\, including its higher cost and sensitivity to environmental fac tors\, will be contrasted with radar's challenges\, such as interference a nd resolution constraints.<br>By highlighting recent advancements in both technologies\, including digital radars with high-resolution imaging capab ilities and efforts to reduce the cost of long-range LiDAR\, this lecture aims to provide a comprehensive understanding of the trade-offs involved i n choosing between radar and LiDAR for different automotive applications. Future research directions\, such as the integration of multi-sensor syste ms and potential cross-modality innovations\, will also be discussed to in spire further developments in autonomous vehicle sensing technologies.</p> \n</div> END:VEVENT END:VCALENDAR