PSW 2486 Self-Driving Cars | Missy Cummings

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  • Опубліковано 13 чер 2024
  • Lecture Starts at 12:43
    www.pswscience.org
    December 1, 2023
    PSW #2486
    Self-Driving Cars: The Good, the Bad & the Ugly
    Missy Cummings
    Director of the Mason Autonomy and Robotics Center
    George Mason University
    Self-driving cars have been a dream from almost the time the automobile was invented. With the rise of artificial intelligence (AI), this dream has seemingly become reality with driverless commercial operations already taking place in a handful of cities around the world. However, the recent tragic accident involving a pedestrian and a Cruise self-driving car, as well as a number of high-profile Tesla crashes, raise the possibility that such systems may not actually be as capable as envisioned, and questions have arisen about their safety both nationally and internationally. Given these concerns, it is important to step back and analyze both the actual safety records of these vehicles and just why AI is struggling to operate safely under all conditions in autonomous vehicles. This talk will highlight the strengths and weaknesses of AI in self-driving cars, as well as in all safety-critical applications, and lay out a roadmap for safe integration of these technologies on public roadways.
    Mary (Missy) Cummings is Professor of Mechanical Engineering; Computer and Electrical Engineering; and Computer Science and Director of the Mason Autonomy and Robotics Center (MARC) at George Mason University. Before joining the GMU faculty, she served as the Senior Safety Advisor to the US National Highway Traffic Safety Administration, and held positions at Duke University and MIT. Prior to her academic career, Missy served as a naval officer and navy fighter pilot, one of the first female fighter pilots in Navy history.
    Missy’s research interests focus on the application of artificial intelligence in safety-critical systems, assured autonomy, human-systems engineering, and the ethical and social impacts of technologies.
    Among other honors and awards, Missy is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA). She serves on several national and international committees including co-chairing the World Economic Forum’s Global Future Council of Autonomous Mobility, and she is a member of the National Academies Committee for AI for Scientific Discovery.
    Missy earned a BS Mathematics at the US Naval Academy, an MS in Space Systems Engineering at the Naval Postgraduate School and a PhD in Systems Engineering at the University of Virginia.
    www.pswscience.org
  • Наука та технологія

КОМЕНТАРІ • 5

  • @pravinkajarekar6232
    @pravinkajarekar6232 4 місяці тому

    The fatalities shall reduce within a year...Is there a mandatory FED Rule for that ...Thx...

  • @dmunro9076
    @dmunro9076 6 місяців тому +1

    The Tesla didn't cause the 8 car pile-up. The following car(s) are legally responsible for keeping a safe distance at an appropriate speed so as not to hit the car ahead, even if it panic stops. I suspect that if each of the cars following the Tesla were using radar or vision based adaptive cruise control, that they would have succeeded in stopping in time.

  • @toonmoene8757
    @toonmoene8757 6 місяців тому

    Thank you from this perpetual cyclist for this lecture.

  • @SmithsMobile
    @SmithsMobile 6 місяців тому

    This talk on self driving cars is going to age like warm milk 😂
    Tesla is the only company with a credible path to full self driving and it doesn't need lidar or radar, we don't need it so why should AI?

    • @DeckerCreek
      @DeckerCreek 5 місяців тому

      Because current computer vision algorithms based on segmentation e.g. connected components algorithms, are brittle and lack semantic meaning. Humans have a way of finding meaning in images and we currently don't have computer algorithms that can replicate what humans do in that respect. CNN image recognition is not the same as meaning.