CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles

arXiv:2606.04072v1 Announce Type: cross Abstract: Deep learning models are increasingly central to autonomous vehicle (AV) pipelines, yet their integration has traditionally followed a monolithic design where perception, planning, and control execute on a single onboard computer. This design overlooks the emerging paradigm of cooperative autonomy, where vehicles interact with roadside units (RSUs), edge servers, and cloud-hosted intelligence through vehicle-to-everything (V2X) connectivity. Cooperative perception and control improve safety and efficiency, but also introduce systems-level chall
The proliferation of deep learning in autonomous systems and the increasing focus on V2X connectivity necessitate platforms to evaluate the complex interactions of cooperative autonomy.
This development is crucial for advancing the safety and efficiency of autonomous vehicles, moving beyond monolithic designs to integrated, cooperative systems that leverage distributed intelligence.
The shift from isolated AI in vehicles to cooperative autonomy involving roadside units, edge servers, and cloud intelligence fundamentally alters how AVs perceive, plan, and control, enhancing system robustness and capability.
- · Autonomous vehicle developers
- · Smart city infrastructure providers
- · Edge computing platforms
- · Hardware manufacturers for V2X
- · Monolithic AV software architectures
- · Legacy perception system vendors
- · Companies without V2X integration strategies
The CADET platform will accelerate the development and testing of cooperative autonomous vehicle features, leading to more sophisticated and safer AV deployments.
This will drive increased investment in V2X communication technologies and edge computing infrastructure to support vehicle-to-everything interactions.
Widespread adoption of cooperative autonomy could lead to entirely new urban planning models optimized for traffic flow and energy efficiency, impacting real estate and municipal services.
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