Connected Autonomous Vehicles
PulseAugur coverage of Connected Autonomous Vehicles — every cluster mentioning Connected Autonomous Vehicles across labs, papers, and developer communities, ranked by signal.
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Connected AI Vehicles Poised to Eliminate Traffic Congestion
Connected AI vehicles, also known as Connected Autonomous Vehicles (CAVs), have the potential to eliminate traffic congestion and improve urban mobility. By leveraging AI for decision-making and real-time communication …
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New framework unifies perception and prediction for autonomous vehicles
Researchers have developed a framework for Collaborative Joint Perception and Prediction (Co-P&P) designed to enhance the situational awareness of Connected Autonomous Vehicles (CAVs). This approach unifies collaborativ…
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VAE-driven semantic communication framework enhances autonomous vehicle connectivity
Researchers have developed a new framework for semantic communication in connected autonomous vehicles (CAVs) that utilizes a Variational Autoencoder (VAE) for satellite-assisted driving. This VAE-driven approach focuse…
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Survey details deep multi-task learning for autonomous vehicles
This paper provides a comprehensive review of deep multi-task learning (MTL) techniques applied to connected autonomous vehicles (CAVs). It explores how MTL can enable a single model to handle diverse tasks like percept…
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New platform CADET evaluates distributed autonomy for connected vehicles
Researchers have developed CADET, a modular platform designed to evaluate distributed cooperative autonomy in connected autonomous vehicles. This system addresses the complexities of integrating deep learning models acr…