N E W S
Stanford autonomous car learns to handle unknown conditions
Stanford researchers have developed a neural network that integrates past driving experiences from driving trials from a skilled amateur driver and physics-based systems. The neural network system outperformed the physics-based system in both high-friction and low-friction scenarios and did particularly well in situations that mixed these two conditions. Link.
Autonomous car research at Stanford
Stanford researchers from across campus are working on a wide-range of questions relating to our driverless future from exploring complex ethics questions, developing new sensor technologies to real-world testing of autonomous cars all to help ensure the safety of driverless vehicles. Link.
E V E N T S
September 3, 2019
CARS Webinar with Ramon Iglesias, Autonomous Systems Lab
Autonomous Mobility-on-Demand (AMoD0 systems present a major paradigm shift in modern mobility and a unique opportunity to alleviate many of our transportation woes. In our Sept webinar, Ramon Iglesias, Ph.D. candidate with Marco Pavone's lab will present a queueing network approach to the problem of routing, re-balancing, and charging a fleet of self-driving vehicles within an AMoD system. View agenda here.w agenda here.
October 3, 2019
Automotive & Mobility Career Night
Stanford rises to academia's BIg 3 of autonomy
The work of Stanford researchers in autonomous, connected and electric vehicles is highlighted here along with Carnegie Mellon and University of Michigan as one of the three main education centers sparking innovation in the field today. Link.