Deep Reservoir Computing for Cooperative Autonomous Driving
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In an era dominated by computationally expensive deep learning, Deep Reservoir Computing for Cooperative Autonomous Driving* challenges the status quo by introducing a powerful, no-backpropagation paradigm for traffic forecasting and autonomous mobility. Grounded in the practical realities of the Barbados Traffic Analysis Challenge, this book unveils the potential of Deep Echo State Networks and the Vehicle-Infrastructure Cooperative Autonomous Driving (VICAD) framework. This is essential reading for researchers, engineers, and practitioners aiming to build the next generation of scalable, low-latency, and biologically plausible urban intelligence systems.