Hardware Testbed for Distributed Learning, Estimation, and Approximation Theory with Sensor Vehicle Networks.

摘要

This report summarizes the design process and implementation of a hardware testbed for a distributed sensing network consisting of autonomous ground vehicles. The goal of the designed testbed is to support research in the synthesis of approximation, learning and estimation theory for high-bandwidth distributed sensing vehicle networks. The report describes the autonomous vehicle designed as the sensing node of the network, and the sensors configured for each node. Performance of sensing subsystems is described.