Announcements
Integrated Stabilization and Collision Avoidance for Automated Vehicles in Emergency Scenarios
Matt Brown, Ph.D. candidate in Mechanical Engineering in Prof. Chris Gerdes' Dynamic Design Lab presented his work on motion planning and control architectures for autonomous vehicles, nonlinear and robust model predictive control, and learning for vehicle control. View the agenda here and the webinar recording here.
Safe and Efficient Aircraft Guidance and Control Using Neural Networks
Kyle Julian with the Stanford Intelligent Systems Lab, presents his Ph.D. defense on the use of neural networks on aircraft guidance and control systems. Julian outlines his work on neural network compression of score table policies, neural network verification and validation of image-based neural net. Link
Safe and Robust Navigation for Aerial and Ground Autonomous Vehicles recording available
At our May webinar, Grace Gao, assistant professor, aeronautics and astronautics and director of the Stanford Navigation and Autonomous Vehicles Lab discussed her work on reliable and safe positioning and navigation for autonomous systems. Gao provided examples of model-driven, data-driven and proof-based approaches for intelligently fusing GPS, LiDAR, vision and inertial measurements. View the webinar recording here.
Safe and Scalable Planning Under Uncertainty for Autonomous Driving
In this Ph.D. theisis defense recording, Maxime Bouton with the Stanford Intelligent Systems Lab (SISL) presents his work on Safe and Scalable Planning Under Uncertainty for Autonomous Driving.
Open Garage Talk Transforming the Urban Landscape video available
Featuring former U.S. Secretary of Transportation Rodney Slater and former Secretary of Transportation of the Commonwealth of Massachusetts Fred Salvucci, our March 5 Open Garage Talk focused on their work which led to profound transformations of urban space in the U.S., including Boston's Big Dig and the reconstruction of the Cypress St. viaduct as Mandela Parkway following the 1989 Loma Prieta earthquake. V iew the recording here.
CARS Feb 2019 webinar with Martin Holder available
Martin Holder, Research Associate and PhD candidate at the Institute of Automotive Engineering at TU Darmstadt, Germany researching radar sensor modeling for virtual validation of autonomous driving under the supervision of Prof. Hermann Winner is currently a Visiting Student Researcher at the Stanford Intelligent Systems Lab with Prof. Mykel Kochenderfer. Holder opened our 2019 webinar series with his presentation on Sensor Models for Virtual Validation of Automated Driving.
CARS Mar 2019 webinar with Changliu Liu available
Changliu Liu, former CARS fellow and Assistant Professor with the Robotics Institute at Carnegie Mellon University, presented her postdoctoral work with Mykel Kochenderfer for the March CARS webinar discussing Algorithms for Verifying Deep Neural Networks. P rofessor Liu leads the Intelligent Control Lab at CMU . View the agenda here a nd the vide
CARS Webinar with Legal Fellow Bryan Casey recording available.
What does a barrel falling out of a warehouse in the 1800s h ave to do with liability for emerging automated vehicles? Bryan Casey — a Lecturer at Stanford Law School and a Fellow at CARS — will argue that a string of cases dating back to the industrial revolution actually provides an elegant solution for resolving complex questions of fault that lie at the heart of AV accidents. The webinar will track Bryan Casey’s forthcoming Article, Robot Ipsa Loquitur , featured in the Georgetown Law Journal. View the webinar here.
Twelve from Stanford honored with the Presidential Early Career Award for Scientists and Engineers
The Presidential Early Career Award for Scientists and Engineers recognize some of the finest researchers who, while early in their research careers, show exceptional potential for leadership in their areas of expertise. Twelve Stanford faculty members were recipients this year including Gordon Wetzstein, seen here at far left, nominated by the Department of Defense. Link