all InfoSec news
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation. (arXiv:2307.02663v1 [cs.IT])
cs.CR updates on arXiv.org arxiv.org
Connected and autonomous vehicles (CAVs) can reduce human errors in traffic
accidents, increase road efficiency, and execute various tasks ranging from
delivery to smart city surveillance. Reaping these benefits requires CAVs to
autonomously navigate to target destinations. To this end, each CAV's
navigation controller must leverage the information collected by sensors and
wireless systems for decision-making on longitudinal and lateral movements.
However, enabling autonomous navigation for CAVs requires a convergent
integration of communication, control, and learning systems. The goal of …
autonomous autonomous vehicles benefits city communications control convergence delivery efficiency end errors human machine machine learning navigation smart smart city surveillance target traffic vehicle vehicles