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View Full Version : Future Urban Mobility, Autonomous Vehicles Group, Singapore-MIT Alliance for Research and Technology (SMART), Singapore



Airicist
25th October 2014, 10:27
youtube.com/FMAUTONOMY (https://www.youtube.com/FMAUTONOMY)

facebook.com/fmautonomy (https://www.facebook.com/fmautonomy)

Principal Investigators:

Emilio Frazzoli (https://pr.ai/showthread.php?12806)

Daniela Rus (https://pr.ai/showthread.php?7713)

Marcelo Ang (https://www.linkedin.com/in/marcelo-ang-41370b15)

Sertac Karaman (https://pr.ai/showthread.php?12807)

Projects:

self-driving wheelchair (https://pr.ai/showthread.php?16900)

self-driving scooter (https://pr.ai/showthread.php?14935)

SCOT (https://pr.ai/showthread.php?12808) (Shared Computer Operated Transport), driverless electric car

Golf Carts (https://pr.ai/showthread.php?8525), DJ (Driverless Jockey), BX (Buggy Xtreme)

Airicist
30th October 2014, 06:22
https://youtu.be/O46_PAYhZi0

Halloween at the Gardens

Published on Oct 29, 2014

Airicist
23rd January 2015, 23:04
https://youtu.be/KTBdUDBceUk

Multi-vehicle motion coordination using V2V Communication

Published on Jan 23, 2015


V2V Communication is utilized to enable coordination for collision avoidance and for resolving deadlocks between multiple vehicles.

Airicist
5th February 2015, 07:58
https://youtu.be/zu9ng4tljsY

Driverless buggies at the Singapore chinese gardens

Published on Feb 4, 2015


A public deployment was done at the Singapore Chinese Gardens in Oct 2014. The purpose was to raise public awareness of driverless vehicles as well as to gain user acceptance of the technology.

Airicist
26th December 2016, 09:52
https://youtu.be/eVVGZxp03Hc

Generalized predictive planning for autonomous driving in dynamic environments

Published on Dec 25, 2016


Generalized Predictive Planning for Autonomous Driving in Dynamic Environments. Self-driving vehicle planner stochastically generates coupled spatial paths and velocity profiles, collision checking over space-time around predicted obstacle trajectories. Generality shown by same algorithm applied for planning onboard three vehicle platforms (scooter, buggy, and road car), in varied environments (pedestrian and on-road).

Research by Singapore-MIT Alliance for Research and Technology (SMART) and National University of Singapore (NUS)

Airicist
31st January 2017, 06:22
Article "Combining automation and mobility to create a smarter world (https://robohub.org/combining-automation-and-mobility-to-create-a-smarter-world)"

by MIT News
January 20, 2017