PPT-Deep Predictive Model for Autonomous Driving

Author : lois-ondreau | Published Date : 2018-03-09

Wongun Choi Scene Type City Image classification from where the image is taken Static Scene Elements Road Sidewalk Semantic segmentation what is the pixel

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Deep Predictive Model for Autonomous Dri..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Deep Predictive Model for Autonomous Driving: Transcript


Wongun Choi Scene Type City Image classification from where the image is taken Static Scene Elements Road Sidewalk Semantic segmentation what is the pixel. Transportation Research Board. 93. rd. Annual Meeting, Washington, DC January 14, 2014. Jerome . M. Lutin, Ph.D., P.E.. Senior . Director, Statewide . & Regional Planning (retired). NJ TRANSIT. . Vehicles. Let the . car. do the . driving. !. P&O 2010 Dennis Bevers. Recent . Projects. Audi TTS . High speed . Pikes. . Peak. . hillclimb. Top . Gear. BMW 330i. Self. . driving. . predefined. Chris Schwarz. National Advanced Driving Simulator. Acknowledgements. Mid-America Transportation Center. 1 year project to survey literature and report on state of the art in autonomous vehicles. Co-PI: Prof. . Nick Durston, Senior Consultant. The challenges facing an autonomous car’s risk assessment. A compelling argument for the introduction of autonomous cars onto UK . roads;. Autonomy - “one who gives oneself one’s own law. Core:. Developed a motion planner for on-road swerve . maneuvers. Developed a reinforcement learning (RL) formulation that learns human driving . patterns . in simulation . playback. Recorded human driving . Transportation Research Board. 93. rd. Annual Meeting, Washington, DC January 14, 2014. Jerome . M. Lutin, Ph.D., P.E.. Senior . Director, Statewide . & Regional Planning (retired). NJ TRANSIT. Team: The Game of Life . Charlie Andres, Long Du, Taylor Gallegan, Jessica Santos, Christopher Werner. 4/7/17. Uconn Goldenson Center Case Study; Case Study Courtesy of Prudential. Project Goals. Using Predictive Analytics in Experience Studies. CS-4700 Introduction. 2. I . Emergence of . (semi-)intelligent autonomous. systems in society. . . . --- Self-driving cars and trucks. Autonomous drones.. . Virtual assistants. Fully . Autonomous/Assisted Driving. Where We Are. Where We’re Going. Who Is Going to Win. Autonomous/Assisted Driving. NHTSA defines vehicle automation as having five levels. : (May 2013).. No-Automation (Level 0):. Control in Buildings. Tony . Kelman. MPC Lab, Berkeley Mechanical Engineering. Email. : . kelman@berkeley.edu. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. Machine ethics. AV. Can a machine “decide” anything?. 2. If a small tree branch pokes out onto a highway and there’s no incoming traffic, we’d simply drift a little into the opposite lane and drive around it. But an automated car might come to a full stop, as it dutifully observes traffic laws that prohibit crossing a double-yellow line. This unexpected move would avoid bumping the object in front, but then cause a crash with the human drivers behind it. Houseweart. Why do we need self-driving cars? . Cost. Why do we need self-driving cars? . Cost. Productivity. Why do we need self-driving cars? . Cost. Productivity. Safety. Other Self-Driving Cars. Continental. Workshop. Lisa Kennedy . – June 5, 2018. Guiding Client Companies to Value Through Digital Strategy, Planning and Execution. © 2018—Tompkins International. Welcome to the 2-hour workshop on logistics technology innovations. We will have a presentation on the progress to date of self-driving technologies, followed by breakout into groups to discuss the effects of these technologies on transportation and warehousing.. The future is ďright for autonomous driving ;ADͿ ǁith the rapid technology advances in artilearning, computer vision, senso

Download Document

Here is the link to download the presentation.
"Deep Predictive Model for Autonomous Driving"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents