Smart Roadside Infrastructure.
Smart lampposts have been recognized as the key roadside infrastructure of smart cities worldwide.
Equipped with networking interfaces, cameras and sensors, smart lampposts can promote a range of smart city innovations,
including intelligent transportation, autonomous driving, real-time surveillance and high-speed WiFi coverage on a city scale.
Real-time AI technologies are at the heart of Smart City innovations and will significantly improve our lives in the coming decades.
Applications of real-time AI assisted by the roadside infrastructure include autonomous driving, adaptive control of traffic lights,
smart parking garage, real-time tracking of public vehicles, public safety, smart power grid etc.
In this project, we will develop key real-time AI technologies for smart cities, including real-time multi-hop vehicular networks based on BATS codes,
real-time scheduling for concurrent deep learning tasks, collaborative AI algorithms for lamppost-vehicle information fusion,
and lightweight virtualization and task orchestration for lamppost-assisted autonomous driving.
Infrastructure Assisted Autonomous Driving.
We are developing a large-scale real-time Fog computing system that can enable smart lampposts to significantly improve the performance of autonomous vehicles.
Smart lampposts are emerging critical infrastructure of smart cities, with a wide range of applications including high-speed public network services, smart transportation, autonomous driving, and security.
We propose to leverage smart lampposts to help vehicles to store data and process complex compute tasks with stringent real-time requirements.
As a result, the design of autonomous vehicles can be significantly simplified.
Also, Lampposts can serve as “beacons” that broadcast coordinates of themselves and landmarks that help autonomous vehicles compute a high-precision location in complex unknown environments.
We propose to realize high-precision 3D localization (in the order of 10 cm) for assisted/autonomous driving in dense metropolitan areas.
In addition, We will study how to leverage smart lampposts to schedule and optimize the operation of autonomous vehicles at a city-wide scale.
Well-connected lamppost networks provide a critical and large-scale sensing platform for monitoring the traffic conditions at the city scale.
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