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Laboratory-of-Embodied-Intelligence/V2X-V2I

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Overview

This project aims at implementing and optimizing a particular scenario for autonomous cars in an V2I environment. We provide the code and blueprints for a benchmark comparison between systems where most computations are done by an infrastructure (IS) rather than vehicles (V) and vice versa.

Scenario

3 Vs are coming to a T-Crossroad (TC) from each of the three lanes. All Vs need to follow their trajectory which may or not involve switching lanes without stopping nor colliding with another V. Each V can have different speeds and different starting points.

Topics

-Speed control

-Prioritization

-Computation delegation

Equipment

To implement our simulation, we work with the Duckietown environment

The list of parts we used to build our duckibots can be found HERE.

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