machine(learning(for(future( transport
TRANSCRIPT
Machine Learning for Future Transport:
Autonomous and Electric Cars
Devdatt DubhashiLAB
(Machine Learning. Algorithms, Computational Biology) Computer Science and Engineering
Chalmers
Autonomous Cars are Here!
Zenuity: Volvo+ Autoliv in Gothenburg, 2017
Anatomy of an Autonomous Car
“Data is the new oil!” ! 1 GB of data per second!
Maps: BIG DATA!
HERE, Google, Uber, AppleTomTom, deCartaHERE fleet has more than 400 cars equipped with LiDAR and four wide-‐angle 24-‐megapixel cameras, mapped more than three million kilometers.
SLAM: Classical Machine Learning
Simultaneously build 3D maps of the world while tracking the location and orientation of the camera on autonomous car.
Deep Learning for Vision
Hardware for Autonomous Driving• NVIDIA DRIVE™ PX 2• highway automated driving and HD mapping
• deep neural networks to process data from multiple cameras and sensors
• 10 watts of power
CSE and Autonomous Driving
• Vinnova FFI project BADA-‐SEMPA with Volvo Cars and Autoliv on sensor fusion.
• Nasser Mohammadiha (Zenuity), adjunktdocent from industry.
• ML Seminar: “Object detection using neural networks”, Thursday, March 2, 10:30, EDIT 3364
A Future with Electric Cars
What kind of infrastructure would be needed to make the transition?
Synthetic Information Systems• Statistically accurate representation of real population
• Constructed by aggregating data from SCB, microsurveys, social media …
Example of a Synthetic Population -‐ Attributes
Synthetic Sweden, Average Income56
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Household Locations
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Example of a Synthetic Population -‐ Activities
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Red = Exact location bought from Statistics SwedenBlue = Location from HEREBlack = Sampled location
Large Scale Agent Based Models
• All personal travel of an entire normative day in a city is simulated using an agent based system using the synthetic population
• The resulting travel patterns can be mined to suggest locations for charging stations
Oskar Allerbo
Charging Station Placement in Gothenburg using MATSim
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“Old” version of Synthetic Sweden Latest version of Synthetic Sweden
Volvo Trucks
Volvo Cars
SahlgrenskaUniversity Hospital
LisebergAmusement Park
Ullevi Stadium
Gothenburg Central Train Station
LindholmenIT Cluster
Aröd Industrial AreaVolvo Cars
Autonomous Cars and Urban Futures• same mobility with 10% of the cars
• Reduced parking needs will free up significant public and private space
• Improvements in road safety are almost certain.
Summary
• Machine learning (together with sensor and computing technologies) is the key to autonomous vehicles
• Synthetic information systems with large scale agent based simulations are a valuable tool for exploring future scenarios and policy decisions