Poster used at ITIC demonstration event to show Local Motors and IBM Watson IoT Olli initiative

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Local Motors demonstrates why the auto industry is primed for disruption
Industry executives suggest three primary
disruptors to the industry over the next decade:
75% said non-traditional
industry participants will
have a key role in the
consumer-driven mobility
ecosystem
More than 50% indicated
they would utilize co-
creation with consumers
across key organizational
functions
73% rated collaboration with
other industries as the best
opportunity for industry growth
…all of these align directly with Local Motors strategy
https://ibm.biz/Auto2025
IBM published Automotive
2025 in January/2015…
…based on interviews with
175 industry executives
5
Olli is a revolutionary concept for urban mobility solutions
• Olli is a self-driving, electric-powered mini-bus
requiring no in-vehicle attendant to control him
• Olli is more than a vehicle, it will be an
ecosystem as they will all be interconnected
• Olli is cognitive and passengers communicate
with him through natural language
• Olli will have personality, he will know you and
understand you
• Olli can transport people, cargo, deliver food
and be extended to many applications
http://meetolli.auto
With Olli, the future of mobility is now.
7
Olli is extensively instrumented for self-drving operation
Olli contains over 30 sensors to enable self-driving and passenger interaction…
Forward facing LIDAR (3)Rear facing LIDAR (1)
Wheel speed sensors (4)Wheel speed sensors (4)
Window fog sensors (2)
Passenger Counter
Interior Cameras (2) Exterior temperature sensor
Interior temperature sensor
…an additional 3-5 radar and 4 ultrasonic sensors will be
evaluated during the trial period for further obstacle detection
Stereo camera (sign recognition)
Impact sensors (2)
Suspension rotation sensors (2)Suspension rotation sensors (2)
Suspension height sensors (2)
GPS
Odometer sensors (4)
12
Cognitive interface flow to respond to passengers
Ollie responds to several specific
use cases at this time:
• Informational Q&A
How are you able to self-drive?
• Operational Queries & Commands
What is the temperature in here?
• Vehicle Focused Queries
What is our speed? Why did you stop?
• Local Interest & Mobility
Where is the best taco? Seafood?
• Rider Surveys & Feedback
What do you like? How can I improve?
Natural Language
Classifier (NLC)
IoT
Foundation
Cloudant
NoSQL DB
IoT data
Dialog
Speech to Text (STT) Text to Speech (TTS)
Response
Processing
Weather API,
Yelp API
MQTT
Interpret Response
Ask
Olli
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Mobile Services
There three primary applications for Olli that will be tested
Downtown Circulator
Any relatively dense area
with medium to high
walkability
Feeder Line
Shuttle from one destination
to a larger transit hub -- could
have multiple stops
Campus Shuttle
Intra-campus mobility
Consumer
On-demand or scheduled
deliveries; short-term asset
storage w/ flex pricing
Commercial
Promotional or long-term
product distribution
Industrial
Just-in-time supply chain
First Responder/Security
Secured equipment
transport; surveillance
Surge Advertising
Geo-located, demand-based
promotion
Mobile Meeting/Napping
On-the-go productivity or
relaxation
Passenger Cargo
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Co-creation is the key to rapid innovation
Design to Sourcing to Manufacturing to Systems Development
utilized extensive co-creation and partner ecosystem
Co-creation of cognitive rider
experience and IoT integration
with self driving system and sensors
45 days
Sourcing plus manufacturing completed
through Kanban process combining space
frame and DDM techniques. Printed 25
molds in 3 days
90 days
Berlin Urban Mobility 2030 Challenge
1st place winning design by LM Labs
community member
~ One year out