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

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youtube.com/FMAUTONOMY

facebook.com/fmautonomy

Principal Investigators:

Emilio Frazzoli

Daniela Rus

Marcelo Ang

Sertac Karaman

Projects:

self-driving wheelchair

self-driving scooter

SCOT (Shared Computer Operated Transport), driverless electric car

Golf Carts, DJ (Driverless Jockey), BX (Buggy Xtreme)

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Halloween at the Gardens

Published on Oct 29, 2014

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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.

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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.

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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)

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Article "Combining automation and mobility to create a smarter world"

by MIT News
January 20, 2017