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Experimenter Perspective: Towards a Cloud- Assisted Smart Intersection
Marco Gruteser WINLAB Rutgers University
ECE - Winlab 2
Experimenter Perspective: Towards a Cloud- Assisted Smart - - PowerPoint PPT Presentation
Experimenter Perspective: Towards a Cloud- Assisted Smart - - PowerPoint PPT Presentation
Experimenter Perspective: Towards a Cloud- Assisted Smart Intersection Marco Gruteser WINLAB Rutgers University 2 ECE - Winlab HUMAN DRIVER SELF-DRIVING CARs ~100 million miles / fatality Billions of miles / fatality ECE - Winlab
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SLIDE 3
ECE - Winlab
Billions of miles / fatality
≪
~100 million miles / fatality
HUMAN DRIVER SELF-DRIVING CARs
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ECE - Winlab
Connectivity Enables Foresight Through Road Data Sharing
Live HD Maps and Point Clouds Analysis of Near - Accidents / SW Updates Milliseconds Minutes Months Real-time Sharing
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ECE - Winlab
100
Mileage / Year
BigRoad
100,000
1
Vehicle Num
× =
Mileage Goal 100,000 100 1,000,000,000
Years
10,000
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ECE - Winlab
Connectivity Enables Foresight Through Road Data Sharing
Live HD Maps and Point Clouds Analysis of Near - Accidents / SW Updates Milliseconds Minutes Months Real-time Sharing
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ECE - Winlab
Eliminating Blind Spots with Intersection Sensor Sharing
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ECE - Winlab
Sharing Rich Sensor Data over V2V
w/ R. Govindan (USC)
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ECE - Winlab
Edge-assisted Intersection Model
Edge computing resources Live Merged Point Cloud and Guidance
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ECE - Winlab
Tethered design in high-quality VR systems
- Inconvenient
- Limited mobility
- Hazards
Can we cut the cord?
10
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ECE - Winlab
Contribution of our system
- We design an untethered VR system that is able to achieve
both low-latency and high-quality requirements over a wireless link.
- Parallel Rendering and Streaming
- Remote VSync Driven Rendering
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ECE - Winlab
Scalable Vehicle-2-Vehicle Communication Simulator (CAMP VSC3, USDOT)
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ECE - Winlab
Developing Model and Robust Protocols for Real Road Environments (CAMP VSC6, USDOT)
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ECE - Winlab
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ECE - Winlab
COSMOS: Sensor Sharing Experiments
Vehicular Sensor Sharing and automated driving
- Experiment involves
multiple mobile nodes, high BW/low latency wireless access and multiple levels of cloud processing
- Real world traffic
and network conditions
- Outcomes include
evaluation of system performance and application demo
Automotive Research: Rich Sensor Sharing and Orchestration for Robust Automated Driving
Collection and Analysis of Near - Accidents Milliseconds Minutes Months mmWave access network and direct communications Edge computing resources Cloud analytics Live Merged Point Cloud and Guidance